bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluating the determinative factors driving patents and foreign technologies acquisitions in Visegrád countries
Authors: Odei Samuel Amponsah , Appiah Michael Karikari 
Published: November 2022

Purpose
This paper aims to empirically examine the factors driving the acquisition of patents and foreign technologies in 2,198 firms spanning multiple industries in Visegrád countries.

Design/methodology/approach
To fulfil the research objectives, the authors used the binary logistic regression models for the empirical specifications to analyse the various hypotheses to ascertain the factors contributing to patents, foreign technologies and international quality certificate acquisitions in Visegrád countries.

Findings
The results show that technological innovations, in-house and external research and development, intense competition from the informal sector and external knowledge search positively influence firms to acquire patents, foreign technologies and international quality certificates. The study further showed that certain firm characteristics, such as size, having a board of directors, female top managers and top managers’ experience, positively influenced firms’ ability to obtain patents, foreign technologies and international quality certificates.

Originality/value
The authors provide new insights into understanding the factors contributing to international technological linkages in the context of transitional countries such as the Visegrád four group. The authors have shown that international technology linkages through foreign technology licences and international quality certifications are vital for innovations in transition economies.
The temporal dynamics of attribute-based firm reputation: examining short-term and long-term reputation and regulation in the U.S. automobile industry
Authors: Cavazos David E. , Rutherford Matthew , Ashton Triss 
Published: November 2022

Purpose
This study aims to examine the implications of short-term and long-term reputation change because of government agency responses to firm product defects.

Design/methodology/approach
This study’s findings have important implications for both scholars and practitioners. From a scholarly perspective, the authors create a more fine-grained examination of reputation that may be used to assess various performance dimensions. From a practice perspective, managers must realize that reputation can be one of an organization’s most important resources as it meets each of the valuable, rare, inimitable and nonsubstitutable criteria associated with those resources capable of providing sustainable competitive advantage.

Findings
Analysis of 17,879 product recalls from 15 automobile manufacturers in the US suggests that firms with higher long-term reputations are more likely to face regulator sanctions when a reputation-damaging event happens. On the other hand, firms with higher short-term reputations are less likely to face sanctions in such circumstances. Finally, firms whose short-term reputation exceeds their long-term reputation are less likely to be sanctioned by regulators when reputation-damaging events occur.

Research limitations/implications
There are several limitations that should be addressed. First, as our reputation measure is based on government investigations of potential defects, vehicles that have never been inspected are not included in the sample. Although this number is likely extremely low, omitting vehicles that have never been inspected leaves out some high-reputation firms from the sample. In addition, the study relies on a single-firm stakeholder that is capable of punitive actions.

Practical implications
From a practical perspective, this study’s findings encourage managers to think about the temporal aspects associated with firm reputation, and to realize that stakeholders may react differently when their expectations are not met depending on an organization’s relative long- and short-term reputations. From a theoretic perspective, the primary contribution of this study is to illustrate how long-term and short-term changes in reputation can provide mixed signals to firm stakeholders regarding future performance.

Originality/value
This study explores the temporal aspects of firm reputation by examining how government sanctions vary depending on firms’ long-term (10 years) and short-term (1 year) reputation. The findings of this study contribute to current reputation research by illustrating the variation in government responses to product defects as a function of short-term and long-term reputation. In doing so, the important role of the timing of firm performance is considered.
The impact of empowering and transformational leadership on organizational performance and innovation: the mediating role of shared leadership and moderating role of organizational culture in the Iraqi healthcare sector
Authors: Mohammed Abbas Ali , AL-Abrrow Hadi 
Published: November 2022

PurposeIn this study, leadership, social and technical system and organizational behavior theories were used to test the research model, consisting of six variables. The purpose of this study was to observe the impact of leadership styles (i.e. transformational leadership and empowering leadership) on organizational performance and innovation. In addition, the mediating role of shared leadership and mediating role of organizational culture in the model were measured.Design/methodology/approachThis study relied on a quantitative design, specifically, a questionnaire, to obtain data from 301 employees in the health sector (three public-sector hospitals in the Basra Governorate).FindingsData analysis results showed that most of the relationships in the research model were positive. In addition, the results demonstrated the importance of the mediating variable in strengthening the relationship between the independent and dependent variables. The results of this study also clearly depicted the role of the mediating variable. Theoretical and practical implications were discussed, and proposals for future studies were presented.Originality/valueThis research focused on the use of modern leadership styles, collected data on such styles and included them in one model to enhance organizational output. This study was conducted in the context of the Iraqi health sector and can be distinguished from other studies by its adoption of a large sample to obtain clear and important results, thereby making it an important reference for researchers to improve organizational performance.
Digitization of interorganizational relationships: direct effects of benefit magnitude and indirect effects of benefit asymmetry on reseller profit
Authors: Osmonbekov Talai , Chelariu Cristian , Whiting Anita 
Published: November 2022

Purpose
The purpose of this study is to examine the effects of relationship digitization benefits on reseller profit. The authors hypothesized two pathways by which the digitization benefits improve reseller profitability: direct and indirect. The direct pathway is via enhancing the reseller’s digital resources and capabilities and the indirect pathway is by improving the relationship with a focal manufacturer by reducing inequity and enhancing interorganizational trust.

Design/methodology/approach
The authors use the survey methodology to attempt to understand the interorganizational dynamics of digitization. The authors survey more than 200 resellers in the computer and computer components industry.

Findings
Overall, the pattern of results generally supports the framework for direct and indirect effects of digitization benefits on the bottom line of the reseller, as well as the idea of examining the benefits structure components of benefit magnitude and benefit asymmetry. Sales benefit magnitude improves reseller profit directly, as enhanced digital resources result in a more efficient and effective reseller salesforce. The indirect effects flow through to profitability via inequity and trust.

Originality/value
The authors are not aware of any prior research that uses the asymmetry and magnitude framework to approach the digitization phenomenon.
Mitigating disruption through adaptive organization and organization learning to create a transformation business model
Authors: Wardhana Vicky Dhanis , Gautama So Idris , Warganegara Dezie L. , Hamsal Mohammad 
Published: November 2022

Purpose
This study aims to examine the relationship between the influence of technological disruption and the transformation of business models mediated by adaptive organization and organization learning.

Design/methodology/approach
In total, 116 top management teams from the member of the Indonesian Advertising Association (P3I) were recruited for this study. The data was obtained through an online survey and analyzed using the PLS-structural equation modeling (SEM) technique.

Findings
This study revealed the importance of organizational learning and adaptive organization in minimizing technology disruption and enabler of the business model transformation. In an always-changing environment, the adaptive organization is the core element and catalyst of firm transformation. The acceleration of business model transformation is empowered through establishing an organization's learning system by exploiting existing knowledge, exploring new knowledge and cultivating a learning culture.

Practical implications
In today’s fast-paced digital world and a constant state of flux, advertising agencies need to build a sustainable business model and structure that allows them to be flexible, adaptive to changes and efficient.

Originality/value
To the best of the authors’ knowledge, this study was the first to develop a model to mitigate technology disruption and enable necessary elements to create a transformation business model.
Being digital to being vulnerable: does digital transformation allure a data breach?
Authors: Srinivas Santhosh , Liang Huigang 
Published: November 2022

PurposeWhile every firm is striving to embrace digital transformation (DT) to form new differentiating business capabilities, there are dark sides to such initiatives, and it is essential to acknowledge, identify and address them. The purpose of this paper is to identify and emperically demonstrate the impact of such darksides of DT. While a firm's DT effort may have many dark sides, the authors identify data breaches as the most critical one and focus on proving their impact since it can inflict significant damage to the firm.Design/methodology/approachThrough the lens of paradox theory, the authors argue that the DT efforts of a firm will lead to increased risk and severity of data breaches. The authors developed a one-of-a-kind longitudinal data set by combining data from multiple sources, including 3604 brands over a 10-year period, and employed a DT performance scorecard to evaluate a firm's DT effort across four key digital selling touchpoints: site, mobile, digital marketing and social media.FindingsThe findings of this study show that a firm's DT efforts pertaining to its mobile and digital marketing platforms significantly increase the likelihood and severity of a data breach event indicating that these two channels are most vulnerable and need heightened attention from firms. Furthermore, the findings suggest that the negative repercussions of some DT initiatives may be minimized as the firm becomes more innovative. The findings can help firms re-strategize their DT efforts by promoting security and also encouraging a balanced communication strategy.Originality/valueThis research is one of the first to identify, recognize and empirically illustrate the downsides of a DT effort that is otherwise thought to provide only benefits.
Active listening to customers: eco-innovation through value co-creation in the textile industry
Authors: Martínez-Martínez Aurora , Cegarra-Navarro Juan-Gabriel , Garcia-Perez Alexeis , De Valon Tiphaine 
Published: November 2022

Purpose
This study contributes to current efforts to design and implement sustainable innovation strategies in organisations from the textile industry. This study aims to examine how businesses can overcome the current challenges (e.g. lack of resources) of sustainable innovation by the incorporation of green knowledge of customers into their value co-creation strategies. Such strategies are based on actively listening to customers and addressing their expectations with regard to environmental sustainability, in particular in the face of the negative environmental impact of the fast-fashion industry.

Design/methodology/approach
The findings of this study are derived from the analysis of data collected from 208 small and medium enterprises (SMEs) in the Spanish textile sector. A partial least squares structural equation modeling analysis was conducted using version 3.3.3 of the SmartPLS software.

Findings
This paper contributes to the literature on environmental sustainability by informing SME eco-innovation through the active listening of their customers’ perceptions while implementing value co-creation strategies. The research has found that engaging with customers and actively listening and addressing their expectations can result in the creation of green knowledge that contributes to both incremental and radical eco-innovation in the textile sector.

Practical implications
This study found that when organisations from the sector lack eco-innovation capabilities, their existing and often their potential customer base is able to acquire new environmental knowledge and transfer it to the business through a process of value co-creation. The research also found that such green knowledge has the potential to lead to eco-innovation in the sector. In other words, the value co-creation process between the textile industry and its customers is a driver of the eco-innovations required to reduce the environmental impact of the sector, helping it address both its sustainability and its ethical challenges.

Originality/value
This study proposes that co-creation challenges such as the lack of resources, funding, qualified staff or technologies motivate companies in the textile sector to collaborate with their customers to seek joint solutions.
The role of perceived attributes of innovations in the adoption of smartwatches
Authors: Wolverton Colleen Carraher , Guidry Hollier Brandi N. , Cahyanto Ignatius , Stevens David P. 
Published: November 2022

Purpose
The purpose of this study is to gain a better understanding of the adoption of smartwatches. Specifically, the robustness of the perceived characteristics of innovation (PCI) model in predicting such adoption is demonstrated. Previous smartwatch research has not used this same technology adoption model. This research demonstrates the value of examining the adoption of wearables and other new technologies (i.e. smartwatches) with the new approach of PCI while avoiding some of the limitations of previous studies.

Design/methodology/approach
A survey of 178 respondents was conducted, and the data was analyzed using structured equation modeling and partial least squares. The model described here extends the models used in extant smartwatch research by identifying additional factors.

Findings
The results show that three factors (compatibility, trialability and relative advantage) significantly impact behavioral intention to adopt the technology.

Originality/value
With the escalation of remote work, the increase in wearable technology and the widespread use of Wi-Fi technology, the way that employees adopt and use their technology must be reassessed. Therefore, a new approach was sought with an established theoretical base to evaluate the adoption of smartwatches under these evolving circumstances. Specifically, Moore and Benbasat’s characterization of the PCI was selected, which is rooted in Rogers’ diffusion of innovation theory.
Understanding post-crisis trauma recovery for the past decade in uniformed services: a narrative review
Authors: De Silva Raneesha , Ireland Jane L. , Birch Philip , Ireland Carol A. , Lewis Michael , Dissanayake Ravindra , Atapattu Methma 
Published: November 2022

Purpose
The purpose of this study is to explore mental health difficulties, including risk and protective factors, which may impact on symptom severity after exposure to crisis situations (war, terrorism and/or natural disasters), among first responders from uniformed services.

Design/methodology/approach
Peer-reviewed journal articles published in English between January 2012 and March 2022 were searched in ProQuest, Wiley, Google Scholar and PubMed databases. In total, 12 articles were obtained from an original screening of 94,058 articles. Full article texts were screened for content and quality by two reviewers, with high agreeability.

Findings
Post-traumatic stress disorder and depression were the most common diagnoses. Risk factors identified were pre-deployment factors of overweight, low cognitive ability and social support, existing emotional difficulties, negative childhood experiences and stressful life events; during crisis situations factors of higher frequency and subjective severity of combat, increased rates of combat stress reaction, high levels of concerns for life and family, more stressful mission position, threat of death/severe injury and high rate of killing the enemy; and post-deployment factors, such as low social support and physical health, lack of coping mechanisms and use of avoidance strategies and social stigma. Protective factors increasing resilience and lessening symptom severity were reported as pre-deployment cognitive ability, high social support, stable physical health, effective coping, post-traumatic growth and high levels of perceived adequacy in pre-deployment preparation and training. In addition to main findings, data about author(s), publication type, population, age, type of crisis and evaluation measures were extracted. Key findings and related theories, gaps in literature and recommendations are discussed.

Originality/value
As yet, however, research into the factors that could serve as risk and/or protective factors are not clearly indicated in terms of post-crisis recovery. As per the authors’ knowledge, this study is an initial approach to considering this area.
Sustainable dyeing of jute-cotton union fabrics with onion skin (allium CEPA) dye using banana peel (Musa) and guava leaves (Psidium guajava) extract as biomordants
Authors: Islam Md. Raijul , Khan Ayub Nabi Nabi , Mahmud Rois Uddin , Haque Shahin Mohammad Nasimul , Khan Md. Mohibul Islam 
Published: November 2022

Purpose
This paper aims to evaluate the effects of banana (Musa) peel and guava (Psidium guajava) leaves extract as mordants on jute–cotton union fabrics dyed with onion skin extract as a natural dye.

Design/methodology/approach
The dye was extracted from the outer skin of onions by boiling in water and later concentrated. The bio-mordants were prepared by maceration using methanol and ethanol. The fabrics were pre-mordanted, simultaneously mordanted and post-mordanted with various concentrations according to the weight of the fabric. The dyed and mordanted fabrics were later subjected to measurement of color coordinates, color strength and colorfastness to the washing test. Furthermore, the dyed samples were characterized by Fourier transform infrared, and different chemical bonds were analyzed by X-ray photoelectron spectroscopy analysis.

Findings
Significant improvement was obtained in colorfastness and color strength values in various instances using banana peel and guava leaves as bio mordants. Post-mordanted with banana peel provided the best results for wash fastness. Better color strength was achieved by fabric post-mordanted with guava leave extracts.

Originality/value
Sustainable dyeing methods of natural dyes using banana peel and guava leaves as bio mordants were explored on jute–cotton union fabrics. Improvement in colorfastness and color strength for various instances was observed. Thus, this paper provides a promising alternative to metallic salt mordants.
Dyeing of polyester fabrics using novel diazo disperse dyes derived from 1, 4-bis (2-amino-1, 3, 4-thiadiazolyl) benzene
Authors: Ali Ali A. , Alshukur Malek , Ashmawy Ashraf M. , Mahmoud Ammar M. , Saleh Ahmed , Nassar Hesham S. , Yao Bo 
Published: November 2022

Purpose
This study aims to show the dyeing behaviour of polyester fabrics using four novel heterocyclic disperse dyes.

Design/methodology/approach
The four dyes were synthesized based on 5, 5'-(1, 4-phenylene) bis (1, 3, 4-thiadiazol-2-amine) as a diazonium compound. The UV/Vis absorption spectroscopic data of these disperse dyes while dyeing polyester fabrics were investigated. Following this, the dyeing properties of these dyes on polyester fabrics were investigated under acid condition.

Findings
The results showed that increasing the dyeing temperature from 80°C to 100°C led to an increase in dye uptake for all dyes, but further increases of the temperature to 130°C led to higher dye uptake for dye 3 as the dye exhaustion increased by about 50% from 55.9% to 91.4%.

Originality/value
This study is important as it introduces new dyes for the dyeing of polyethylene terephthalate (PET) fibres with colours that range from yellowish orange to bluish yellow and scarlet red and all with excellent brightness, levelness and depth of shade.
Transport‐limited reactions in microbial systems
Authors: Louca Stilianos , Taylor Gordon T. , Astor Yrene M. , Buck Kristen N. , Muller‐Karger Frank E. 
Published: November 2022

AbstractPredicting microbial metabolic rates and emergent biogeochemical fluxes remains challenging due to the many unknown population dynamical, physiological and reaction‐kinetic parameters and uncertainties in species composition. Here, we show that the need for these parameters can be eliminated when population dynamics and reaction kinetics operate at much shorter time scales than physical mixing processes. Such scenarios are widespread in poorly mixed water columns and sediments. In this ‘fast‐reaction‐transport’ (FRT) limit, all that is required for predictions are chemical boundary conditions, the physical mixing processes and reaction stoichiometries, while no knowledge of species composition, physiology or population/reaction kinetic parameters is needed. Using time‐series data spanning years 2001–2014 and depths 180–900 m across the permanently anoxic Cariaco Basin, we demonstrate that the FRT approach can accurately predict the dynamics of major electron donors and acceptors (Pearson r ≥ 0.9 in all cases). Hence, many microbial processes in this system are largely transport limited and thus predictable regardless of species composition, population dynamics and kinetics. Our approach enables predictions for many systems in which microbial community dynamics and kinetics are unknown. Our findings also reveal a mechanism for the frequently observed decoupling between function and taxonomy in microbial systems.