bluuebunny/crossref_metadata_2025 huggingface dataset:
Relationship between the ACTN3, ACE, AGT, BDKRB2 and IL6 genes and the intake of creatine HCl, whey protein and glutamine, with changes in strength and fat percentage, before an undulating strength program in lower limbs in athletes from Valle del Cauca. Colombia
Authors: Estrada Gerardo David González , Paz Efraín , Sanclemente Felipe
Published: January 2023

Changes in power, strength and muscle mass gain were measured with a group of university athletes (n=11), separating them into two groups, one with supplementation and the other without. supplementation, to determine if the intake of sports supplements had an influence or not on individuals with similar genotypic profiles, or the results of the tests only depended on the predisposition to strength and muscle gain of the ACE, ACTN3, AGT, IL6 and BDKRB2 genes. Genotyping was performed based on PCR, RFLP and polyacrylamide electrophoresis tests. The supplemented group ingested whey protein, creatine HCl, and glutamine. All individuals underwent undulating strength training for four months and jump power tests (SJ, CMJ, and ABA), 1RM, and bioimpedance were performed at three different times.

Changes were obtained in all the athletes, but the group that obtained the greatest gains in all the tests, except the CMJ jump, was the supplemented group and also had a genotypic profile that registered the lowest TGS. In conclusion, we observed significant improvements in individuals with lower TGS and taking sports supplements, surpassing the group that did not take supplements, but had a greater genetic predisposition in strength activities.
Decreasing ELK3 expression improves Bone Morphogenetic Protein Receptor 2 signaling and pulmonary vascular cell function in PAH
Authors: Ali Md Khadem , Zhao Lan , Perez Vinicio de Jesus , Nicolls Mark R. , Spiekerkoetter Edda F.
Published: January 2023

ELK3 is upregulated in blood and pulmonary vascular cells of PAH patients and may play a significant role in PAH potentially through modulating BMPR2 signaling.
Age-dependent structural and morphological changes of the stem cell niche disrupt spatiotemporal regulation of stem cells and drive tissue disintegration
Authors: Urman Michelle A. , John Nimmy S. , Lee ChangHwan
Published: January 2023

Aging induces a progressive decline in tissue function, which has been attributed to a decrease in stem cell function. A major factor driving this decline is the aging of the stem cell niche but elucidating molecular mechanisms of the niche aging and its effects on stem cell regulation remain a challenge. Here, we use theCaenorhabditis elegansdistal tip cell (DTC), the mesenchymal niche that employs Notch signaling to regulate germline stem cells (GSCs), as anin vivoniche aging model and delineate the molecular details of the DTC/niche aging process and its consequences on GSC function and tissue integrity. Using Notch-dependent transcriptional activation as a direct readout of GSC-DTC/niche interaction and its transcriptional activity as a readout for GSC function, we find that an age-dependent reduction in Notch transcription occurs both at the tissue and the cellular levels, but with its activity at the chromosomal loci remains unaffected. This overall reduction is due to an age-dependent progressive shift in the spatial pattern of Notch-dependent transcription in the germline, resulting in a shift of the GSC pool location and disruption of the tissue integrity. We show that the position of the DTC/niche nucleus determines the location of the Notch-responsive GSC pool, with its correlation to the structure and morphology of the DTC/niche, which also changes during aging. Our findings demonstrate that the stem cell niche undergoes structural and morphological changes during aging and reveal a critical link between these changes and the spatiotemporal regulation of stem cell function.
Mechanical forces in extendable tissue matrix orient cell divisions via microtubule stabilization inArabidopsis
Authors: Hoermayer Lukas , Montesinos Juan Carlos , Spona Leonhard , Yoshida Saiko , Marhava Petra , Caballero-Mancebo Silvia , Benková Eva , Heisenberg Carl-Philip , Friml Jiří
Published: January 2023

Plant morphogenesis relies exclusively on oriented cell expansion and division. Nonetheless, the mechanism(s) determining division plane orientation remain elusive. Here we studied tissue healing after laser-assisted wounding in roots and uncovered how mechanical forces of cell expansion stabilize and reorient microtubule cytoskeleton for orientation of cell division. We revealed that root tissue functions as interconnected cell matrix with a radial gradient of tissue extendibility causing a predictable tissue deformation after wounding. This causes instant redirection of expansion in the surrounding cells and reorientation of microtubule arrays ultimately predicting cell division orientation. Microtubules are destabilized under low tension, whereas stretching of cells, either through wounding or external aspiration immediately induce their polymerisation. The higher microtubule abundance in the stretched cell parts leads to reorientation microtubule arrays and ultimately cell division planes. This provides a long-sought mechanism for flexible re-arrangement of cell divisions by mechanical forces for tissue reconstruction and plant architecture.
Biallelic Variants inMAD2L1BP(p31comet) Cause Female Infertility Characterized by Oocyte Maturation Arrest
Authors: Huang Lingli , Li Wenqing , Dai Xingxing , Zhao Shuai , Xu Bo , Wang Fengsong , Jin Ren-Tao , Luo Lihua , Wu Liming , Jiang Xue , Cheng Yu , Zou Jiaqi , Xu Caoling , Tong Xianhong , Fan Heng-yu , Zhao Han , Bao Jianqiang
Published: January 2023

Human oocyte maturation arrest represents one of the severe conditions for female patients with primary infertility. However, the genetic factors underlying this human disease remain largely unknown. The spindle assembly checkpoint (SAC) is an intricate surveillance mechanism that ensures accurate segregation of chromosomes throughout cell cycles. Once the kinetochores of chromosomes are correctly attached to bipolar spindles and the SAC is satisfied, the MAD2L1BP, best known asp31comet, binds MAD2 and recruits the AAA+-ATPase TRIP13 to disassemble the mitotic checkpoint complex (MCC), leading to the cell cycle progression. In this study, by whole-exome sequencing (WES), we identified homozygous and compound heterozygousMAD2L1BPvariants in three families with female patients diagnosed with primary infertility owing to oocyte metaphase I (MI) arrest. Functional studies revealed that the protein variants resulting from the C-terminal truncation of MAD2L1BP lost their binding ability to MAD2. cRNA microinjection of full-length or truncated MAD2L1BP uncovered their discordant roles in driving the extrusion of polar body 1 (PB1) in mouse oocytes. Furthermore, the patient’s oocytes carrying the mutatedMAD2L1BPvariants resumed polar body extrusion (PBE) when rescued by microinjection of full-lengthMAD2L1BPcRNAs. Together, our studies identified and characterized novel biallelic variants inMAD2L1BPresponsible for human oocyte maturation arrest at MI, and thus prompted new therapeutic avenues for curing female primary infertility.
Neural substrates of cognitive impairment in a NMDAR hypofunction mouse model of schizophrenia and rescue by risperidone
Authors: Delgado-Sallent Cristina , Gener Thomas , Nebot Pau , López-Cabezón Cristina , Puig M. Victoria
Published: January 2023

NMDAR hypofunction is a pathophysiological mechanism relevant for schizophrenia. Acute administration of the NMDAR antagonist phencyclidine (PCP) induces psychosis in patients and animals while subchronic PCP (sPCP) produces cognitive dysfunction for weeks. We investigated the neural correlates of memory and perceptual impairments in mice treated with sPCP and the rescuing abilities of the atypical antipsychotic drug risperidone administered daily for two weeks. We recorded neural activities in the medial prefrontal cortex (mPFC) and the dorsal hippocampus (dHPC) during memory acquisition, short-term, and long-term memory in the novel object recognition test and during auditory perception and mismatch negativity (MMN) and examined the effects of sPCP and sPCP followed by risperidone. We found that the information about the new object and its short-term storage were associated with mPFC→dHPC high gamma connectivity whereas long-term memory retrieval depended on dHPC→mPFC theta connectivity. sPCP impaired short-term and long-term memory, which was associated with increased mPFC and decreased dHPC neural network activities, and disrupted mPFC-dHPC connectivity. Risperidone rescued the memory deficits and attenuated hippocampal desynchronization. sPCP also impaired auditory perception and its neural correlates (evoked potentials and MMN) in the mPFC, which were also ameliorated by risperidone. Our study suggests that during NMDAR hypofunction the mPFC and the dHPC disconnect possibly underlying cognitive impairment in schizophrenia, and that risperidone targets this circuit to ameliorate cognitive abilities in patients.
Internet of Things (IoT) acceptance model – assessing consumers' behavior toward the adoption intention of IoT
Authors: Negm Eiman
Published: January 2023

Purpose

This study identifies key facets leading to consumers' Internet of Things (IoT) adoption intention.

Design/methodology/approach

Applying four technology acceptance theories (theory of planned behavior, technology acceptance model, pleasure-arousal-dominance theory and technology readiness index), the author uses deductive quantitative research to develop a model, explaining IoT adoption intentions. Administrated questionnaires are distributed in Egypt among generation-Z and millennials in malls. A total of 400 questionnaires are used for hypotheses testing, applying structural equation modeling (SEM) path coefficient analysis.

Findings

Results of this study show that attitude, dominance, perceived usefulness, innovativeness and insecurity impact consumers' IoT adoption intentions; subjective norms, perceived behavior control, pleasure, arousal, perceived ease, optimism and discomfort hold insignificant impact on consumers' IoT adoption intentions.

Research limitations/implications

Exploring IoT facets and how these facets impact consumers' adoption intentions, this study helps grasp technology acceptance in theory and practice, guiding scholar and practitioners (e.g. IoT developers, retailers, marketers and other field experts) to consider consumers' mindset when developing, improving and marketing IoT.

Originality/value

The contribution stems from the incorporation of various frameworks used to explain technology acceptance. By studying several theories jointly, the research extracts and identifies a significant set of facets (technical and psychological) to build a comprehensive theory of IoT acceptance, showing consumers' IoT adoption is not entirely similar to adoption of other past innovations. This understanding allows marketers to focus on content that needs to be promoted to boost consumers' IoT purchase plans. Future researchers could replicate the results to IoT categories (e.g. home appliances, cars, healthcare, education, sportswear, etc.) to improve external validity of the findings, among other future research opportunities.
A study on the mediating effect of brand trust between perceived legitimacy of influencers and attitude toward brand: evidence from Turkey
Authors: Bora Semiz Buket , Paylan Mehmet ali
Published: January 2023

Purpose

This study aims to test the effect that the perceived legitimacy of influencers has on the attitude toward the brand from the consumer point of view, as well as the mediating effect brand trust has on the relationship between the perceived legitimacy of influencers and attitude toward the brand.

Design/methodology/approach

By using Google Forms to distribute links on various social media platforms, data were collected between January 15, 2021, and February 20, 2021. The population participants were all over 18 and had social media accounts. In the questionnaire, participants were asked to write down three influencers that they followed. They were then asked to answer the other statements in the survey with these three influencers in mind. Participants were included through convenience sampling from the population. A total of 514 people answered the questionnaire. These questions were then subjected to a statistical analysis using PLS-SEM.

Findings

The results showed that cognitive, moral and pragmatic legitimacies significantly affect brand trust. Moreover, the moral and pragmatic legitimacies significantly affect the attitude towards the brand. Regarding the mediation effect, results showed that brand trust has a mediating effect between the perceived legitimacy of influencers and attitude towards the brand.

Research limitations/implications

One of the main limitations of this study is that the data were collected by convenience sampling. Therefore, the research results cannot be generalised. Another limitation is that the study measures general perceptions of influencers' legitimacy, so it has not been addressed in terms of a specific product group, follower or influencer self-branding issues.

Practical implications

The managerial contribution of this research centers on the ability to evaluate the influencers and their legitimacy in society; not only by their follower count but also by the legitimacy factors that can be named under the name of primary legitimacy norms. Managers will then be able to use this framework to determine which influencers they want to work with.

Originality/value

When the literature was reviewed, no study was found that examined and measured the perceived legitimacy of influencers in terms of social norms, values and morals. This research aims to add the concept of the perceived legitimacy of influencers to the discussion in the literature, embody the legitimate framework of influencers' activities and provide a more general conceptual basis for persuasiveness in influencer marketing.
Chatbots, virtual-try-on (VTO), e-WOM: modeling the determinants of attitude’ and continued intention with PEEIM as moderator in online shopping
Authors: Tandon Urvashi
Published: January 2023

Purpose

The purpose of this study is to develop an empirical model by understanding the relative significance of interactive technological forces, such as chatbots, virtual try-on technology (VTO) and e-word-of-mouth (e-WOM), to improve interactive marketing experiences among consumers. This study also validates the moderating role of the perceived effectiveness of e-commerce institutional mechanism (PEEIM) as a moderator between attitude and continued intention.

Design/methodology/approach

Data were collected through personal visits and an online survey. The link to the survey questionnaire was shared on different social media platforms and social networking sites. A total of 362 responses obtained in the online and offline modes were considered for this study.

Findings

e-WOM emerged as the strongest predictor of attitude, followed by chatbots and VTO. The results of this study revealed that PEEIM did not moderate the relationship between attitude and continued intention.

Originality/value

Using the self-determination theory and behavioral reasoning theory as theoretical frameworks, this study is an initial endeavor in the online shopping context to empirically validate interactive forces like chatbots, VTO, e-WOM and PEEIM as moderators together to arrive at a holistic framework. These forces, in turn, act as significant contributors to online shopping satisfaction.
Attracting Gen Z talents: do expectations towards employers vary by gender?
Authors: Lassleben Hermann , Hofmann Lisa
Published: January 2023

Purpose

This paper explores, which employer attractiveness attributes Generation Z (Gen Z) talents prioritize. Comparing the findings for female and male participants, this study examines whether gender-specific work value orientations prevail among Gen Z talents and impact their expectations toward employers.

Design/methodology/approach

A survey was conducted among 308 students of business, economics and management in Germany. Data were collected using the employer attractiveness scale of Berthon and colleagues (2005) complemented by an additional dimension focusing on work–life balance.

Findings

Findings indicate that Gen Z talents primarily expect a fun work environment, a positive team atmosphere and supportive relations with colleagues and superiors. Application aspects and work–life balance enabling services are expected the least. Expectations of four of the six attributes measured differ significantly among women and men, indicating that traditional gender assumptions continue to be reflected in the work value orientations of Gen Z talents.

Research limitations/implications

The sample was limited to business, economics and management students in Germany. Additional research should include a wider variety of respondents of different disciplines and countries.

Practical implications

Practical implications refer to emphasizing the social value of employment in the employee value proposition and customizing employer branding activities by gender.

Originality/value

This study contributes to the literature by empirically determining which employer attractiveness attributes Gen Z talents expect and whether and how these expectations vary by gender.
Innovative entrepreneurial behavior in high-income European countries
Authors: López-Muñoz José Fernando , Novejarque-Civera Josefina , Pisá-Bó Mabel
Published: January 2023

Purpose

This study investigates the personal factors influencing innovative entrepreneurship combined with additional contextual insights from high-income European countries. Specifically, this study has three main objectives: (i) to measure differences in the level of entrepreneurial innovativeness activity among high-income European regions; (ii) to uncover key factors leading to appropriate levels of entrepreneurial innovativeness and (iii) to suggest policies that may enhance the regional level of entrepreneurial innovation.

Design/methodology/approach

A sample of 4,430 nascent and new entrepreneurs from 16 different high-income European countries drawn from the Global Entrepreneurship Monitor (GEM) Adult Population Survey (APS) was used in conjunction with macroeconomic indicators. Data were analyzed using a logistic regression analysis.

Findings

There are significant differences in the conditions that influence entrepreneurial innovativeness in European regions. These variations in entrepreneurial activity can be explained using contextual factors and individual characteristics. Although technological novelty increases the probability of innovative entrepreneurship, the technology effect is significantly greater in Western Europe than other regions across Europe.

Originality/value

This study illustrates how a contextualized view of entrepreneurship enriches the knowledge of the human and dynamic socioeconomic drivers that motivate innovative entrepreneurial action in high-income European countries.
Examining the impact of marketing techniques on the prescription behavior of physicians with ethical ideology as a moderator
Authors: Aqif Tanzeela , Mumtaz Sana
Published: January 2023

Purpose

This research paper aims to investigate the impact of pharmaceutical marketing on the prescription behavior of physicians. It further examines whether the use of various promotional techniques including advertisements, sales promotions, personal selling and direct marketing by pharmaceutical companies influences the prescription behavior of doctors. Based on the increasing ethical concerns regarding the promotion of specific drugs for personal gains, the research also investigated the moderating role of ethical ideology in the above relationship.

Design/methodology/approach

To accomplish the research goals, quantitative research methods were used. Using the online questionnaire, data were collected from 93 doctors working in government and private hospitals in Pakistan, and structural equation modeling technique was used to analyze the impact of pharmaceutical marketing techniques on the prescription decisions of physicians.

Findings

The findings suggested that marketing strategies of pharmaceutical companies positively influences the prescription behavior of doctors. Further, physicians having weak ethical standards are likely to be strongly influenced by the marketing and promotional practices of companies.

Practical implications

The research is pivotal in understanding the perspective of doctors and the ethical considerations that need to be addressed while devising the marketing campaigns by pharmaceutical companies. Further, these findings provide important implications regarding the essential linkage between ethical values and the development of right marketing tools.

Originality/value

To the best of the authors’ knowledge, this research is one of the first few to empirically develop and test the role of moral values followed by physicians when they take prescription decisions. Based on the findings, future researchers are encouraged to further investigate the need of setting boundaries for pharmaceutical companies and restricting their usage regarding the promotional tactics.
Leave No One Behind: how systemic racism impacts Sustainable Development Goals
Authors: Ebron Kutisha T. , Luzynski Cheyenne , Nath Komanski Carolynn S.
Published: January 2023

Purpose

This paper critiques how the member states adopted the United Nations (UN) Sustainable Development Goals (SDGs) in a concerted effort to improve the lives and meet the basic needs of all global citizens. COVID-19 has been an unexpected precipitous monitoring system that has exposed the current implemented policies and systems, begging the question, “are these goals failing?” Furthermore, may it be equated to failed leadership on a global scale? The UN 17 SDGs is an urgent call for union by all countries – developed and developing – recognizes that ending poverty and other deprivations must go hand-in-hand with strategies that improve health and education, reduce inequality and spur economic growth. This paper is central to addressing the shortcomings of UN leadership and multilateral organizations. The UN coordinates multilateral organizations' actions in reaching the most marginalized communities (United Nations, 2015). Hence, these outcomes have become more distant to those without means and most in need, a likely consequence of program failure and our globalized world. The pandemic has taught us national solutions to global problems fall short and may only exacerbate the outcome. The authors approach this as a failure of global leadership. The UN's pledge to “Leave No One Behind” has undermined its commitment to poverty and inequalities of racism and sectarianism. The UN staff are often unprepared to deal with the issues they have contributed to. They continue to perpetuate the inequalities that stem from racism and discrimination even though the pledge is to leave no one behind. The 17 SDGs are designed to impact citizens' health and livelihood. The goals have direct and indirect effects on women, children and the most marginalized groups residing in urban cities across the globe. This article examines systemic racism and the UN and its impact on the SDGs’ agenda.

Design/methodology/approach

This article proposes a human-centered approach to address leadership inadequacies in a global public leadership institution using a literature review and contemporary cases.

Findings

This article argues a premise for the UN institutions to adapt their leadership approaches to better understand the global communities with whom they serve.

Practical implications

This article is directed to multi-lateral leaders and governments in hopes to expose inequities and hypocrisies in order to advance more inclusive and culturally responsive approaches to tackle the most challenging social issues the world faces.

Originality/value

This article draws on current events of racism that challenge one of the largest global institutions and can potentially undermine the achievement of meeting the 2030 UN SDGs for any country.
Visual aesthetics and multisensory engagement in online food delivery services
Authors: Lee Jinha , Lim Heejin
Published: January 2023

Purpose

This study aims to investigate the effects of two visual design principles, repetition and compositional lines, in a food image on purchase intention in the context of a mobile food delivery app and test the effect of crossmodal correspondences between vision and taste as a processing mechanism.

Design/methodology/approach

In this study, two experiments were conducted using burgers and iced tea as stimuli.

Findings

The results demonstrate that repetition of an identical food product increases visual appeal for both burgers and iced tea. However, the optimal level of repetition was different between the two products. The findings show that different compositional lines generate different levels of visual appeal and the effects of compositional lines vary between burgers and iced tea. The results also validate the serial mediation effects of vision and taste between design principles and purchase intention.

Originality/value

The findings of this study add substantially to the understanding of visual information processing in food retailing by demonstrating how design principles such as repetition and compositional lines facilitate crossmodal responses between vision and taste and influence purchase decisions in a mobile platform. Also this study provides guidance as to how food retailers use design principles (e.g. repetition and compositional lines) for different products effectively when the food retailers develop visual digital content for a mobile app.
How do the kids speak? Improving educational use of text mining with child-directed language models
Authors: Organisciak Peter , Newman Michele , Eby David , Acar Selcuk , Dumas Denis
Published: January 2023

Purpose

Most educational assessments tend to be constructed in a close-ended format, which is easier to score consistently and more affordable. However, recent work has leveraged computation text methods from the information sciences to make open-ended measurement more effective and reliable for older students. The purpose of this study is to determine whether models used by computational text mining applications need to be adapted when used with samples of elementary-aged children.

Design/methodology/approach

This study introduces domain-adapted semantic models for child-specific text analysis, to allow better elementary-aged educational assessment. A corpus compiled from a multimodal mix of spoken and written child-directed sources is presented, used to train a children’s language model and evaluated against standard non-age-specific semantic models.

Findings

Child-oriented language is found to differ in vocabulary and word sense use from general English, while exhibiting lower gender and race biases. The model is evaluated in an educational application of divergent thinking measurement and shown to improve on generalized English models.

Research limitations/implications

The findings demonstrate the need for age-specific language models in the growing domain of automated divergent thinking and strongly encourage the same for other educational uses of computation text analysis by showing a measurable difference in the language of children.

Social implications

Understanding children’s language more representatively in automated educational assessment allows for more fair and equitable testing. Furthermore, child-specific language models have fewer gender and race biases.

Originality/value

Research in computational measurement of open-ended responses has thus far used models of language trained on general English sources or domain-specific sources such as textbooks. To the best of the authors’ knowledge, this paper is the first to study age-specific language models for educational assessment. In addition, while there have been several targeted, high-quality corpora of child-created or child-directed speech, the corpus presented here is the first developed with the breadth and scale required for large-scale text modeling.
Investigating the effect of media synchronicity in professional use of video conferencing applications
Authors: Thomas Manoj A. , Sandhu Ramandeep Kaur , Oliveira António , Oliveira Tiago
Published: January 2023

Purpose

This research aims to gain a holistic understanding of how video conferencing (VC) apps' media characteristics influence individuals' perceptions of VC apps and, ultimately, their use and continued use in professional settings.

Design/methodology/approach

A conceptual research model is developed by integrating constructs from media synchronicity theory (MST), social presence theory and the unified theory of acceptance and use of technology (UTAUT2) model, as well as ubiquity, technicality and perceived fees. Structural equation modeling (SEM) is used to empirically test the conceptual model using data collected from 252 working professionals from the European Union.

Findings

The results reveal that while performance expectancy (PE) and facilitating conditions (FC) are fundamental to VC app use, these factors alone do not explain the use and continuing use of VC apps in the professional context. Media characteristics that include synchronicity, social presence, and ubiquity are equally crucial to professionals using VC apps. It also confirms the moderating effect of convergence on the relationship between synchronicity and PE and the moderating effect of technicality and perceived fees on the relationship between ubiquity and FC.

Originality/value

For researchers, the study offers insights into the extent to which technological and socially derived characteristics of VC apps influence the routine tasks undertaken by professionals in virtual work settings. For practitioners, recommendations pivotal to the use of VC apps are presented to promote higher acceptance and improved well-being of the professional workforce.
Green market orientation, green value-based innovation, green reputation and enterprise social performance of Ghanaian SMEs: the role of lean management
Authors: Afum Ebenezer , Agyabeng-Mensah Yaw , Baah Charles , Asamoah George , Yaw Kusi Lawrence
Published: January 2023

Purpose

This study aims to investigate the intervening role of lean management (LM) in the direct relationships between green market orientation, green value-based innovation, green reputation and enterprise social performance.

Design/methodology/approach

Data for the study is carefully garnered from 217 managers in Ghanaian small- and medium-sized enterprises. The methodological technique used to validate all hypothesized relationships is partial least squares structural equation modelling.

Findings

The empirical results of the study suggest that although green market orientation has a positive impact on green value-based innovation, the effect is not significant. However, the results confirm that green market orientation has a significant positive impact on green reputation and enterprise social performance. The results further suggest that LM has a significant positive impact on green value-based innovation, green reputation and enterprise social performance. The mediation analysis provides empirical evidence to suggest that LM fully mediates the relationship between green market orientation and green value-based innovation. Lastly, the results of the mediation analysis suggest that LM plays a complementary partial mediation role between green market orientation, green reputation and enterprise social performance.

Originality/value

Despite the flourishing research on green market orientation in marketing management and environmental literature, no study has been carried out to explore the intervening role of LM in the relationships between green market orientation, green value-based innovation, green reputation and enterprise social performance. Thus, considering LM as a missing link between green market orientation, green value-based innovation, green reputation and enterprise social performance is a noteworthy research gap which this study fills.
Food in tourism in a time of critical shift: four reflexive case studies in Aotearoa New Zealand
Authors: Latham Elizabeth
Published: January 2023

Purpose

This study aims to explore the values, resilience and innovation of four food businesses during the COVID-19 pandemic and their responses to the chaotic environment they find themselves in. It also evaluates whether there is evidence of a thriving food in tourism environment propelling these businesses forward within an innovative regenerative tourism system.

Design/methodology/approach

A descriptive and comparative case study approach is used using a holistic design with four in-depth interviews for each business over 18 months. A thematic analysis of the qualitative data provides answers to the key research questions and informs our understanding of the ecosystems in which food businesses reside.

Findings

The findings indicate that an internal business ecosystem with a strong value base and effective networks across a range of stakeholders enhances resilience. The crisis refocused and stimulated a variety of innovations.

Practical implications

An ethos of collaboration and cooperation for food businesses provides opportunities for a shared future where it is implemented.

Social implications

A values-based food in tourism system that gives back to communities potentially creates an external environment that better supports small food businesses; however, the place of food in tourism and the food story of Aotearoa New Zealand continues to lack clarity.

Originality/value

The exploration of four food businesses in the time of crisis provides new insights into the multidirectional inter-related factors that either drive success or hinder it.
Personality disorders as a predictor of counterproductive knowledge behavior: the application of the Millon Clinical Multiaxial Inventory-IV
Authors: Serenko Alexander
Published: January 2023

Purpose

This study investigates the role of personality disorders in the context of counterproductive knowledge behavior.

Design/methodology/approach

Data were collected through a survey administered to 120 full-time employees recruited from Amazon’s Mechanical Turk. Personality disorders were measured by means of the Millon Clinical Multiaxial Inventory-IV.

Findings

Personality disorders play an important role in the context of counterproductive knowledge behavior: employees suffering from various personality disorders are likely to hide knowledge from their fellow coworkers and engage in knowledge sabotage. Of particular importance are dependent, narcissistic and sadistic personality disorders as well as schizophrenic and delusional severe clinical syndromes. There is a need for a paradigm shift in terms of how the research community should portray those who engage in counterproductive knowledge behavior, reconsidering the underlying assumption that all of them act deliberately, consciously and rationally. Unexpectedly, most personality disorders do not facilitate knowledge hoarding.

Practical implications

Organizations should provide insurance coverage for the treatment of personality disorders, assist those seeking treatment, inform employees about the existence of personality disorders in the workplace and their impact on interemployee relationships, facilitate a stress-free work environment, remove social stigma that may be associated with personality disorders and, as a last resort, reassign workers suffering from extreme forms of personality disorders to tasks that require less interemployee interaction (instead of terminating them).

Originality/value

To the best of the authors’ knowledge, this work represents one of the first attempts to empirically investigate the notion of personality disorders in the context of knowledge management.
Assurance of Learning (AoL) and AACSB’s 2020 Business Accreditation Standards: a conversation with Marine Condette
Authors: Fagnot Isabelle J.
Published: January 2023

Purpose

This paper aims to discuss Assurance of Learning (AoL) and 2020 Standards from Association to Advance Collegiate Schools of Business (AACSB) International with Marine Condette from AACSB.

Design/methodology/approach

Structured interview.

Findings

Changes following the 2020 Standards.

Originality/value

This paper is an interview with Marine Condette from the AACSB Europe, Middle East and Africa (EMEA) office on AoL discussing as well the changes with the 2020 AACSB Standards.
Interfacial adhesion strength between FDM-printed PLA parts and surface-treated cellulosic-woven fabrics
Authors: Demir Murat , Seki Yasemin
Published: January 2023

Purpose

The purpose of this study is to investigate surface treatments and fiber types on adhesion properties polylactic acid (PLA) three-dimensional (3D) parts printed on woven fabrics.

Design/methodology/approach

The cotton, flax and jute fabrics were exposed to alkali, hydrogen peroxide, stearic acid and ionic liquid treatments to modify surface characteristics before PLA 3D printing. The modification efficiency was assessed with Fourier transform infrared spectroscopy (FTIR) and scanning electron microscope (SEM) analyses. Then, fused deposition modeling (FDM) printer and PLA filament were used for 3D printing onto the untreated and treated fabrics. The adhesion strength between the fabrics and PLA 3D parts were tested according to DIN 53530 via universal tensile tester.

Findings

The fabric structure is effective on adhesion force and greater values were observed for plain weave fabrics. Maximum separation forces were obtained for alkali pretreated fabrics among jute and cotton. Hydrogen peroxide treatment also increased adhesion forces for jute and cotton fabrics while decreasing for flax fabrics. Stearic acid and ionic liquid treatments reduced adhesion forces compared to untreated fabrics. Treatments are effective to alter adhesion via changing surface chemistry, surface morphology and fabric physical properties but display different effects related to fabric material.

Originality/value

This study provides experimental information about effects of different fiber types and surface treatments on adhesion strength of PLA 3D parts. There is limited research about comprehensive observation on 3D printing on cellulosic-woven fabrics.
Asset information requirements for blockchain-based digital twins: a data-driven predictive analytics perspective
Authors: Hellenborn Benjamin , Eliasson Oscar , Yitmen Ibrahim , Sadri Habib
Published: January 2023

Purpose

The purpose of this study is to identify the key data categories and characteristics defined by asset information requirements (AIR) and how this affects the development and maintenance of an asset information model (AIM) for a blockchain-based digital twin (DT).

Design/methodology/approach

A mixed-method approach involving qualitative and quantitative analysis was used to gather empirical data through semistructured interviews and a digital questionnaire survey with an emphasis on AIR for blockchain-based DTs from a data-driven predictive analytics perspective.

Findings

Based on the analysis of results three key data categories were identified, core data, static operation and maintenance (OM) data, and dynamic OM data, along with the data characteristics required to perform data-driven predictive analytics through artificial intelligence (AI) in a blockchain-based DT platform. The findings also include how the creation and maintenance of an AIM is affected in this context.

Practical implications

The key data categories and characteristics specified through AIR to support predictive data-driven analytics through AI in a blockchain-based DT will contribute to the development and maintenance of an AIM.

Originality/value

The research explores the process of defining, delivering and maintaining the AIM and the potential use of blockchain technology (BCT) as a facilitator for data trust, integrity and security.
Major opportunities of digital twins for smart buildings: a scientometric and content analysis
Authors: Ghansah Frank Ato , Lu Weisheng
Published: January 2023

Purpose

Digital twins provide enormous opportunities for smart buildings. However, an up-to-date intellectual landscape to understand and identify the major opportunities of digital twins for smart buildings is still not enough. This study, therefore, performs an up-to-date comprehensive literature review to identify the major opportunities of digital twins for smart buildings.

Design/methodology/approach

Scientometric and content analysis are utilised to comprehensively evaluate the intellectual landscape of the general knowledge of digital twins for smart buildings.

Findings

The study uncovered 24 opportunities that were further categorised into four major opportunities: efficient building performance (smart “building” environment), efficient building process (smart construction site environment), information efficiency and effective user interactions. The study further identified the limitations of the existing studies and made recommendations for future research in the methodology adopted and the research domain. Five research domains were considered for future research, namely “real-time data acquisition, processing and storage”, “security and privacy issues”, “standardised and domain modelling”, “collaboration between the building industry and the digital twin developers” and “skilled workforce to enable a seamless transition from theory to practice”.

Practical implications

All stakeholders, including practitioners, policymakers and researchers in the field of “architecture, engineering, construction and operations” (AECO), may benefit from the findings of this study by gaining an in-depth understanding of the opportunities of digital twins and their implementation in smart buildings in the AECO industry. The limitations and the possible research directions may serve as guidelines for streamlining the practical adoption and implementation of digital twins for smart buildings.

Originality/value

This study adopted scientometric and content analysis to comprehensively assess the intellectual landscape of relevant literature and identify four major opportunities of digital twins for smart building, to which scholars have given limited attention. Finally, a research direction framework is presented to address the identified limitations of existing studies and help envision the ideal state of digital twins for smart buildings.
Psoriatic arthritis and its special features predispose not only for osteoporosis but also for fractures and falls
Authors: Halasi Andrea , Szegedi Andrea , Törőcsik Dániel , Varga József , Farmasi Nikolett , Szűcs Gabriella , Tarr Tünde , Gaál János
Published: January 2023

Limited data are available on the predisposing factors to fractures and falls of patients with psoriatic arthritis (PsA). Our study intended to explore the differences between PsA patients and controls, concerning bone mineral density (BMD), the 10‐year fracture risk, the number of prevalent fractures, the frequency of falls and to investigate the association of the same factors with PsA disease characteristics within the PsA group. Medical reports of 61 PsA patients and 69 consecutive, age‐matched controls were analyzed, physical examination and bone mineral density (BMD, and T‐score) were performed, and the 10‐year fracture risk was calculated. The results were subjected to statistical analysis. Femoral neck BMD, as well as vertebral and femoral neck T‐scores were lower, the odds ratio (OR) for low BMD and the 10‐year risk of hip fracture was higher (p = 0.0029; 0.0002, p < 0.0001, OR = 21,9, p = 0.014) in the PsA group. The PsA patients were more predisposed to prevalent fractures, including peripheral fractures, and vertebral fractures as well as falls (OR 3.42; 2.26; 13.33; 3.95, respectively), compared to controls. Within the PsA group (beyond the age) scalp psoriasis and late‐onset psoriasis, were significantly associated with a greater number of prevalent fractures (p = 0.0049; 0.029), while the number of falls per year correlated with late‐onset psoriasis and the flexural psoriasis (p = 0.007; 0.023). Our results suggest that PsA is an independent risk factor for reduced bone density and falls hence to related bone fractures. Patients with late‐onset psoriasis are more likely to suffer falls and related fractures, especially if their disease is characterized by the involvement of the hairy scalp and body folds.
Temperature dependency of litter decomposition is not demonstrated under reciprocal transplantation of tussock leaves along an altitudinal gradient
Authors: Krna Matthew A. , Tate Kevin R. , Saggar Surinder , Buckley Hannah L. , Rapson Gillian L.
Published: January 2023

Decomposition rates are an important component of carbon sequestration rates in soils, potentially mitigating future climate change. Here we aim to better understand decomposition's relationship with temperature in natural conditions.

In snow‐tussock grassland dominated by Chionochloa rubra on Mount Tongariro, Tongariro National Park, New Zealand, we measured decomposition of Chionochloa leaf litter along an ≈ 700 m altitudinal gradient, as a space‐for‐temperature experiment, representing 4.2°C of warming. We examined decomposition rates in a full reciprocal translocation of litter bags between eight plots as both the origin of eight litter types and the eight destinations of plating out of litter bags, over 4 years using six replicates, and modelled their relationships to environmental variates.

Litter decomposed progressively over time, but at the same rate along the altitudinal gradient. There was no home‐field advantage. In terms of litter quality, decomposition rates were related only to litter lignin, or fibre or litter N. Only decomposition at Year 4, and that only when organised by litter destination, showed a relationship to mean annual temperature jointly with soil C, and this was only weak and implausible. When studied across the full reciprocal transplant, there were no significant interactions between Origin and Destination data with or without Years. Therefore litter from each plot decomposed at the same rate as other plots' litter at all altitudes, allowing for small, often irregular differences in litter quality and micro‐environment.

Despite the few modelled differences, decomposition rates show no plausible trends in our altitude‐for‐temperature substitution. We suggest this may be a universal finding, except perhaps under different moisture regimes. Thus, under projected climate warming scenarios, changes in temperature will not directly affect decomposition rates, and cannot influence C sequestration in nature.

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