bluuebunny/crossref_metadata_2025_split huggingface dataset:
Chemogenetic silencing reveals presynaptic Gi/o protein-mediated inhibition of synchronized activity in the developing hippocampusin vivo
Authors: Graf Jürgen , Samiee Arash , Flossmann Tom , Holthoff Knut , Kirmse Knut 
Published: February 2024

AbstractThe development of neuronal circuits is an activity-dependent process. Research aimed at deciphering the learning rules governing these developmental refinements is increasingly utilizing a class of chemogenetic tools that employ Gi/oprotein signaling (Gi-DREADDs) for neuronal silencing. However, their mechanisms of action and inhibitory efficacy in immature neurons with incompletely developed Gi/osignaling are poorly understood. Here, we analyze the impact of Gi/osignaling on cellular and network excitability in the neonatal hippocampus by expressing the Gi-DREADD hM4Di in telencephalic glutamatergic neurons of neonatal mice of both sexes. Using acousto-optic two-photon Ca2+imaging, we report that activation of hM4Di leads to a complete arrest of spontaneous synchronized activity in CA1in vitro. Electrophysiological analyses demonstrate that hM4Di-mediated silencing is not accounted for by changes in intrinsic excitability of CA1 pyramidal cells (PCs). Instead, activation of hM4Di robustly restrains synaptic glutamate release by the first postnatal week, effectively reducing recurrent excitation in CA1.In vivo, inhibition through hM4Di potently suppresses early sharp waves (eSPWs) and discontinuous oscillatory network activity in CA1 of head-fixed mice before eye opening. In summary, hM4Di dampens glutamatergic neurotransmission through a presynaptic mechanism sufficient to terminate spontaneous synchronized activity in the neonatal CA1. Our findings have implications for designing and interpreting experiments utilizing Gi-DREADDs in immature neurons and further point to a potential role of Gi/o-dependent endogenous neuromodulators in activity-dependent hippocampal development.Significance StatementRecent advances in understanding how early activity shapes developing brain circuits increasingly rely on Gi/o-dependent inhibitory chemogenetic tools (Gi-DREADDs). However, their single-cellular mechanisms and efficacy in neurons with immature Gi/osignaling are elusive. To close this gap, we analyzed the impact of the Gi-DREADD hM4Di in the neonatal murine hippocampus. We report that hM4Di does not mediate hyperpolarization or shunting but rather acts as a potent presynaptic silencer of glutamatergic neurotransmission in CA1 pyramidal cells. Presynaptic inhibition of excitation suffices to arrest spontaneous synchronized network activityin vitroandin vivo. Our findings provide novel insights into the generative mechanisms of spontaneous synchronized activity and bear relevance for applying chemogenetic silencing at early stages of brain development.
Distinct representational roles of distributed cortical regions for working memory storage
Authors: Chopurian Vivien , Weber Simon , Christophel Thomas 
Published: February 2024

AbstractWhile distributed cortical areas represent working memory contents, their necessity for memory maintenance has been questioned. To understand whether these regions serve separable roles when multiple items are maintained, we examined the effect of visual working memory load on neural information across cortical regions. In each trial of the fMRI experiment, participants (N=81) had to memorize two items, each either an orientation or a pure pitch, for 13.8s and continuously recalled the target after the delay. We kept the overall working memory load constant, but varied the sensory modality of each item to vary the effective visual load. We show that increasing visual load decreased behavioural recall performance for orientations and continuous orientation-specific decodable information in visual cortex but not in frontoparietal areas. Simulations show that this selective drop in decodable information is best interpreted as a drop in mnemonic information represented by patterns of visual cortex activity. Our results provide evidence for distinct roles of visual cortices, where single orientations can be stored with high fidelity, and anterior cortices, where multiple orientations could be represented in distinct cortical patterns.Significance statementThis study investigated the role of these distributed regions for maintaining multiple items in work- ing memory. We find that orientation information could be decoded in visual and frontoparietal areas for low and high visual load. However, a visual-load-dependent decline in decoding accu- racy during the maintenance period was only observed in visual but not frontoparietal areas. Our results highlight the interplay between different cortical regions for the maintenance of multiple working memory items.
Navigating the change: a case study of the textile industry on digital leadership, digital transformation and innovative business models
Authors: Malik Mehreen , Raziq Muhammad Mustafa , Sarwar Naukhez , Gohar Madiha 
Published: February 2024

PurposeWe explore the skills required for digital leadership for reshaping existing business models toward digital models. Digital leadership is pivotal in gaining a competitive advantage and achieving successful digital transformation. However, little is known with regard to the underlying mechanisms related to digital leadership and transformation.Design/methodology/approachData are collected through semi-structured interviews involving 20 participants from five Pakistani textile companies. Thematic analysis was employed as a data analysis tool.FindingsFindings show that certain skills such as technological know-how, innovativeness, adaptability, ability to lead and steer, honesty, integrity, transformative vision, communication and collaboration are conducive to successful digital transformation in textile manufacturing firms. Similarly, digital leaders can significantly enhance business model innovation, create value for the firm, help develop new products (value proposition) and create Ecosystem partnerships (value network).Originality/valueThis article bridges gaps between existing literature on digital transformation and leadership. Digital leadership skills for digital transformation and the role of digital leaders in business model innovation have not been explored before. The conceptual framework is put forth, propositions are proposed and the findings offer some future research directions.
Work engagement and perceived job performance: does information communication technology orientation matter?
Authors: Bhat Shabir Ahmad , Bashir Makhmoor , Jan Hafsah 
Published: February 2024

Purpose
The purpose of this paper is to develop and test an integrated model to examine the relationship between work engagement and three facets of perceived job performance (PJP). The authors argue that work engagement might not optimally improve PJP unless it is channelized through information and communication technology orientation.

Design/methodology/approach
Data for the present research were collected from higher educational institutes in the northern region of India by using a convenient sampling technique. Results of structural equation modeling (SEM) through AMOS 20 revealed that work engagement facilitates all three facets i.e. task performance, contextual performance and adaptive performance of teaching professionals. Furthermore, SEM results established the partial mediating effect of information and communication technology orientation between work engagement, task performance, contextual performance and adaptive performance.

Findings
Findings from present research contribute theoretically as well as practically to job performance and work engagement literature by giving insights to administrators and practitioners on how to improve the overall job performance of teaching professionals by enhancing their engagement and addressing their need for digital know-how.

Originality/value
To the best of the authors’ knowledge, this study is one of the first to study the impact of work engagement and information and communication technology on the three facets of PJP using a diverse sample of 1030 teachers from universities in North India.
Mapping the research field on product quality: a bibliometric analysis
Authors: Mikul Mikul , Mittal Ishwar 
Published: February 2024

PurposeThis research intends to undertake a rigorous bibliometric analysis of product quality research trends and patterns, map the intellectual and social structure of the field, identify the predominant themes and propose a transition plan for future work in this discipline.Design/methodology/approachThe procedure was carried out in a step-by-step manner. Following a specified search string, Scopus retrieved 1454 journal articles from the previous 39 years (1984–2022). To comprehend the field’s base, various techniques of performance analysis and science mapping were employed using RStudio and VOSviewer.FindingsIn light of the results, both the volume and influence of product quality studies have surged over the past four decades, with most works appearing in prestigious academic journals. A number of cross-country product quality collaborations took place in nations with little geographic, historical, or cultural proximity. Using co-citation analysis, five distinct subfields were identified within the literature on product quality. Finally, the use of co-word analysis helps understand the field’s underlying themes and concludes with a set of potential research avenues built on a content analysis of the articles from each of the five subfields.Originality/valueTo the authors' understanding, this study represents a pioneering effort to examine the research field on product quality using bibliometric analysis. Notwithstanding being rooted in scientometrics, this research’s outcomes are instructive for practitioners, academics and aspiring researchers in the field.
Real-world experiments as a teaching and learning approach for sustainable consumption education
Authors: Hirscher Anja Lisa , Iran Samira , Schrader Ulf , Müller Martin 
Published: February 2024

Purpose
This paper aims to propose and evaluate an innovative approach to education for sustainable consumption (ESC) which empowers teenagers and young adults to improve sustainable consumption competences. This approach combines pedagogical learning approaches such as real-world learning (e.g. experiential learning and research-based learning) with transformative and transdisciplinary research approaches (i.e. real-world laboratory research).

Design/methodology/approach
Through a transdisciplinary research design, the authors explore if real-world experiments (RWEs) offer a suitable approach for sustainable consumption education at schools. RWEs are a research approach for knowledge production, aiming to go beyond temporary interventions, to establish semi-permanent spaces for sustainability transformation and reflexive learning. To evaluate this proposal, the authors study already existing active teaching and learning approaches developed within and for ESC and put these in perspective, to define and understand the RWEs.

Findings
Insights from a transdisciplinary research project which applied RWEs as a teaching and learning approach in German schools complement conceptual considerations. As a result, advantages, such as the development of core competencies among learners, but also challenges experienced, are illustrated. Though, the challenges found are not unique to the RWE, rather they point out important potentials for ESC through suggesting systematic changes in educational institutions and teaching approaches.

Originality/value
This paper explores RWEs as an active and participatory teaching and learning approach for sustainable consumption education at schools and delivers practical insights and a definition of RWEs as an innovative teaching and learning approach.
TN-MR: topic-aware neural network-based mobile application recommendation
Authors: Chen Junyi , Cao Buqing , Peng Zhenlian , Xie Ziming , Liu Shanpeng , Peng Qian 
Published: February 2024

Purpose
With the increasing number of mobile applications, efficiently recommending mobile applications to users has become a challenging problem. Although existing mobile application recommendation approaches based on user attributes and behaviors have achieved notable effectiveness, they overlook the diffusion patterns and interdependencies of topic-specific mobile applications among user groups. mobile applications among user groups. This paper aims to capture the diffusion patterns and interdependencies of mobile applications among user groups. To achieve this, a topic-aware neural network-based mobile application recommendation method, referred to as TN-MR, is proposed.

Design/methodology/approach
In this method, first, the user representations are enhanced by introducing a topic-aware attention layer, which captures both the topic context and the diffusion history context. Second, it exploits a time-decay mechanism to simulate changes in user interest. Multitopic user representations are aggregated by the time decay module to output the user representations of cascading representations under multiple topics. Finally, user scores that are likely to download the mobile application are predicted and ranked.

Findings
Experimental comparisons and analyses were conducted on the actual 360App data set, and the results demonstrate that the effectiveness of mobile application recommendations can be significantly improved by using TN-MR.

Originality/value
In this paper, the authors propose a mobile application recommendation method based on topic-aware attention networks. By capturing the diffusion patterns and dependencies of mobile applications, it effectively assists users in selecting their applications of interest from thousands of options, significantly improving the accuracy of mobile application recommendations.
Towards an obstacle detection system for robot obstacle negotiation
Authors: Wang Han , Zhang Quan , Fan Zhenquan , Wang Gongcheng , Ding Pengchao , Wang Weidong 
Published: February 2024

Purpose
To solve the obstacle detection problem in robot autonomous obstacle negotiation, this paper aims to propose an obstacle detection system based on elevation maps for three types of obstacles: positive obstacles, negative obstacles and trench obstacles.

Design/methodology/approach
The system framework includes mapping, ground segmentation, obstacle clustering and obstacle recognition. The positive obstacle detection is realized by calculating its minimum rectangle bounding boxes, which includes convex hull calculation, minimum area rectangle calculation and bounding box generation. The detection of negative obstacles and trench obstacles is implemented on the basis of information absence in the map, including obstacles discovery method and type confirmation method.

Findings
The obstacle detection system has been thoroughly tested in various environments. In the outdoor experiment, with an average speed of 22.2 ms, the system successfully detected obstacles with a 95% success rate, indicating the effectiveness of the detection algorithm. Moreover, the system’s error range for obstacle detection falls between 4% and 6.6%, meeting the necessary requirements for obstacle negotiation in the next stage.

Originality/value
This paper studies how to solve the obstacle detection problem when the robot obstacle negotiation.
Consumer-brand heuristics in luxury hotel reviews
Authors: Petrescu Maria , Gironda John , O'Leary Kathleen Bay 
Published: February 2024

Purpose
This paper aims to evaluate and structure the basic heuristics consumers use in evaluating word-of-mouth (WOM) about luxury hotel brands while analyzing the impact of deception in online consumer reviews.

Design/methodology/approach
The research used a two-study mixed-methods approach, using interpersonal deception theory and social proof theory as lenses to conduct our analysis. For the first study, a qualitative conceptual mapping analysis was conducted, examining online consumer reviews to identify key concepts and their relationships in the context of luxury hotel brands. In the second study, the themes were further examined using a fuzzy-set qualitative comparative analysis to analyze their causal complexity and association between variables to determine how they influence the perceived helpfulness of online reviews for luxury hotel brands.

Findings
The results underline the importance of functional, objective variables, such as the number of reviews and stars, as social proof heuristics and other factors, including clout, authenticity and analytic tone, as interpersonal communication heuristics. Therefore, consumers use a combination of social and interpersonal communication heuristics to extract information from reviews and manage deception risk.

Research limitations/implications
The paper contributes to the consumer–brand relationship literature by assessing the heuristics consumers use in evaluating online reviews and provides additional information for research in online reputation management.

Practical implications
This study’s results can help marketing practitioners and brand managers manage their online reputations better. It can also aid managers in improving their messaging on hotel websites to entice consumers to complete bookings. Heuristics play an essential role in such messaging and understanding them can help marketers appeal directly to their target market.

Originality/value
This study contributes to the literature on consumer–brand relationships by providing a framework of heuristics that consumers use when evaluating luxury service brands and contributes to WOM and online reputation research by highlighting factors that may make online reviews more helpful.
Sustainable luxury brands: the moderating effects of salient identity-based goals
Authors: Li Jiarui , Kang Jiyun 
Published: February 2024

Purpose
Luxury brands struggle to communicate their sustainability commitments to consumers due to the perceived incongruence between “luxury” and “sustainability”. This study aims to provide luxury brands with insights on how to engage consumers with different social value orientations (SVOs) to make sustainable luxury purchases in a compatible manner. It investigates the relationships between personal values (symbolism/universalism), SVOs (pro-self/prosocial orientation) and behavioral intentions toward sustainable luxury brands. It further explores whether these relationships may differ when consumers view themselves as individuals (salient personal identity is activated) versus group members (salient social identity is activated).

Design/methodology/approach
Study 1 (N = 419) used an online experiment in which participants were randomly assigned to either salient personal or social identity conditions to test the proposed model. Study 2 (N = 438) used a fictional brand to further validate the findings. Hypotheses were tested using covariance-based structural equation modeling (CB-SEM) and multi-group SEM.

Findings
Results indicate that prosocial orientation significantly increases consumers’ behavioral intentions toward sustainable luxury brands. Interestingly, pro-self-orientation can also drive intentions to support sustainable luxury brands when consumers’ personal identity is salient. Salient social identity can further strengthen the relationship between prosocial orientation and sustainable luxury behavioral intentions.

Originality/value
This study presents a novel, inclusive definition of sustainable luxury brands and adds theoretical rigor to the SVO framework by revealing the moderating role of salient identities, contributing to the body of knowledge in luxury brand research.
An examination of spiritual capital and innovation: insights from high-growth aspiration entrepreneurs in a developing economy
Authors: Games Donard , Siwi Agustina Tri , Lupiyoadi Rambat , Kartika Rayna 
Published: February 2024

PurposeThis study aimed to examine the relationship between spiritual capital and small business innovation in a developing market economy and the highly religious society of Minangkabau.Design/methodology/approachA quantitative method was used by analyzing the data with partial least squares (PLS), comprising 278 entrepreneurial and high-growth aspiration small and medium-sized enterprises (SMEs) owners in a developing economy such as Indonesia.FindingsThe results showed that spiritual capital was a source of acquiring knowledge from innovation failure situations, serving as a catalyst for the occurrence of novelty and differentiation-related innovation.Research limitations/implicationsThe perspective of spiritual capital was provided within a religious community, showing that future reports should produce comparative analyses from varying contexts. Since understanding entrepreneurs' perspectives and spiritual capital situation remained ambiguous, the performance of qualitative analysis was crucial.Practical implicationsEntrepreneurs were expected to obtain considerable benefits from spiritual capital as a source of inspiration for differentiation and higher levels of novelty-related innovation. Similarly, policymakers should implement the capital and learn from failure to evaluate entrepreneurial SMEs concerning their capabilities.Originality/valuePrevious studies were unable to acknowledge an alternative source of innovation in a specific context, such as entrepreneurial SMEs with high-growth aspirations and spiritual capital. This is because capital contributes to innovation, helps in the assimilation of innovative knowledge and causes novelty-related innovation.
Accounting in and by the extractive industries: development of a conceptual framework and avenues for future research
Authors: Samkin Grant , Mihret Dessalegn Getie , Lemma Tesfaye 
Published: February 2024

Purpose
We develop a conceptual framework as a basis for thinking about the impact of extractive industries and emancipatory potential of alternative accounts. We then review selected alternative accounts literature on some contemporary issues surrounding the extractive industries and identify opportunities for accounting, auditing, and accountability research. We also provide an overview of the other contributions in this special issue.

Design/methodology/approach
Drawing on alternative accounts from the popular and social media as well as the alternative accounting literature, this primarily discursive paper provides a contemporary literature review of identified issues within the extractive industries highlighting potential areas for future research. The eight papers that make up the special issue are located within a conceptual framework is employed to illustrate each paper’s contribution to the field.

Findings
While accounting has a rich literature covering some of the issues detailed in this paper, this has not necessarily translated to the extractive industries. Few studies in accounting have got “down and dirty” so to speak and engaged directly with those impacted by companies operating in the extractive industries. Those that have, have focused on specific areas such as the Niger Delta. Although prior studies in the social governance literature have tended to focus on disclosure issues, it is questionable whether this work, while informative, has resulted in any meaningful environmental, social or governance (ESG) changes on the part of the extractive industries.

Research limitations/implications
The extensive extractive industries literature both from within and outside the accounting discipline makes a comprehensive review impractical. Drawing on both the accounting literature and other disciplines, this paper identifies areas that warrant further investigation through alternative accounts.

Originality/value
This paper and other contributions to this special issue provide a basis and an agenda for accounting scholars seeking to undertake interdisciplinary research into the extractive industries.