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The purpose of this study is to test whether presenting organizational change in a way that promotes the status quo will result in increased employee support for the change.

Using quantitative methodology, categorical data were collected through an online cross-sectional survey in which 222 adult respondents participated. The items used vignette-based question blocks with fixed response options. Item responses were analyzed using an exact binomial test – focusing on the relationship between status quo bias and other responses to change communications.

The findings demonstrated that status quo bias has an association with employee sensemaking. These results suggest that status quo bias can be utilized by organizational leaders and change practitioners to endorse change efforts. Furthermore, it not only appears that promoting what is staying the same but also including a small reason to justify the change can bring additional advantage. Advertising a vision of radical transformation is problematic as it may actually heighten employee resistance.

This research explores and presents a convergence between organizational change management and behavioral economics – specifically, status quo bias. No other comparable study collecting data across a number of organizational change themes and critiquing existing change management models could be found during the preparation of this research effort.

The purpose of this study is to examine the connections between knowledge-based economies, entrepreneurial orientation (EO), sustainable business model innovation and technology transfer (TT). This study specifically investigates whether TT might foster EO and long-term business model innovation in small and medium-sized enterprises (SMEs). This study focuses on economies that are knowledge-based, where information is viewed as a vital resource for economic growth.

This study uses structural equation modelling method and a quantitative research strategy to analyse data gathered from 309 SMEs in knowledge-based economies. A survey questionnaire created to examine the relevant factors was used to gather the sample data from PROLIFIC platform using judgemental sampling technique.

This study’s conclusions point to an association between TT and EO that is favourable, SMEs’ ability to use TT to strengthen their EO and the significance of EO in fostering innovation in SMEs. This study offers empirical proof of the role that TT may play in fostering innovation in sustainable business models and EO in SMEs.

Policymakers, business professionals and academic researchers who are interested in the function of TT in knowledge-based economies will find it to be a helpful source of information. According to this study’s results, TT can assist SMEs in using outside expertise and assets to grow their entrepreneurial capacities, promote innovation and build long-term business strategies.

This study provides empirical evidence of the role of TT in fostering innovation within sustainable business models and cultivating EO within SMEs, contributing to the literature on these critical topics.

We investigate whether/how various kinds of experience predict managers' selection outcomes.

Drawing from personnel selection and decision-making research, we used a multilevel model to examine whether various types of experience predict employee selection outcomes in the National Basketball Association. We examined 289 selection events of basketball players by 63 general managers. Measures of general manager experience included tenure, education level, family relations, experience as a college coach, experience as a National Basketball Association Player, experience as a National Basketball Association scout and experience as a National Basketball Association coach.

College coaching experience, tenure and vicarious experience through family relations improved selection decision outcomes, while experience as a basketball player reduced the quality of selection decision outcomes. Tenure was associated with general managers’ ability to select employees who made high individual contribution to team wins; vicarious experience improved ability to select players with high peak individual performance, and college coaching experience improved general managers’ ability to select employees with higher contributions to team wins, higher peak individual performances and higher average performances over the course of players’ careers.

Experience’s importance is taken for granted, but this paper demonstrates that all experience is not equally effective. Notably, experience as a professional athlete did not seem to make managers better decision-makers about personnel than people who did not have that experience.

One impediment of e-government implementation is the lack of e-(government) competences among public officials, especially because foundational education programs fail to teach them. Therefore, this study suggests massive open online course (MOOC)-based continuous education. This study aims to design and evaluate a MOOC and MOOC platform for acquiring e-competence in the public sector and principles for such platforms to capture their inherent design knowledge.

This study uses design science research incorporating qualitative and quantitative methods and draws on established patterns of formulating design principles (DPs).

The core results are a physically instantiated MOOC platform and six DPs: DP of 1) easy access and easy use, 2) professional exchange, 3) protected space, 4) domain focus, 5) cooperation with higher education institutions and 6) promotion from higher government level.

This study contributes to e-government research by extending the design knowledge for the construction of domain-specific MOOC platforms. Moreover, the study contributes to platform economics by discussing existing theses and outlining new opportunities. The research also entails limitations, as the authors have solely considered MOOCs and neglected complimentary offers to sustain learning success.

This study provides practitioners with design principles they can use in their efforts to construct education platforms for the public sector. Moreover, the study presents a working MOOC platform instantiating these DPs, and thus provides an exemplary reference.

Not fulfilling expectations regarding digital public services comes with a risk of decreasing trust in public organizations and the overall government. The results of this study contribute to enabling public officials fulfilling stakeholders’ expectations and generating public value.

By linking e-government competence education with MOOC platform design, this research approximates an important research gap. Scholars previously investigated e-competences and focused on alone-standing MOOCs to convey those. The results of this study offer the potential to construct platforms to centralize such fragmented solutions, maximizing their impact among public officials.

This paper aims to identify types of robot service failure stressors and explores its impact on emotional labor and recovery work engagement from the employees’ standpoint.

The research adopted a mixed-method approach in the hospitality industry in China, which included 25 hospitality workers participating in semi-structured interviews and 435 hospitality employees participating in a two-stage questionnaire survey.

Three types of robotic service failure stressors – illegitimate tasks, customer mistreatment and robotic instability – were identified. These stressors significantly influence emotional labor strategies in employee subsequently shaping their recovery work engagement through dual pathways. The sequential mediation effect of deep acting and service empathy serves to enhance recovery work engagement, whereas the sequential mediation effect of surface acting and workplace depersonalization diminishes this engagement. Human–robot collaborative climate moderates these effects in this context.

The findings from this study yield several implications for hospitality managers in managing employees and service robots to perform human–robot collaboration tasks.

Current research has primarily delved into how robot service failures impact customer experiences, leaving the effects on employees less explored. To the best of the authors’ knowledge, this paper is the first empirical study to explore the relationship between robot service failure and employee emotional responses and behaviors, enriching the literature on service robots in the hospitality industry and also proposing new directions and frameworks for future human–robot interaction research.

Elderberry (Sambucus nigra) fruits are rich in bioactive components, specifically in anthocyanins. In this study, freeze-dried and powdered elderberry fruits were added to milk, yoghurt and kefir samples at ratios of 5, 10 and 15% (w/w) to fortify these dairy products at home scale, and final products were monitored to understand the behaviour of bioactive compounds.

The action of bioactive compounds was examined before and after in vitro gastrointestinal digestion by the analysis of total anthocyanin content, total phenolic content and antioxidant activity assays as well as the HPLC-PDA system on the first day of preparation. Moreover, the effect of three days of storage on individual phenolic compounds was evaluated.

Kefir samples exhibited the highest total anthocyanin content levels among prepared products (255±4-702±65 µmol cyanidin-3-glucoside eq/100 g), which is followed by yoghurt samples. Individual phenolics in samples prepared at the same concentrations behaved almost similarly with each other during gastric digestion phases (p > 0.05), whereas intestinal digestion phases caused significant differences, and phenolics in yoghurt samples exhibited higher values than others (p < 0.05). The stability of bioactive compounds in samples tended to decrease during storage; however, as observed during gastrointestinal digestion, yoghurt and kefir samples provided better matrices than milk to maintain the presence of bioactive compounds (p < 0.05).

Previous studies have indicated that elderberry fruits contain high levels of bioactive compounds, and these fruits have been used to fortify different food matrices. However, this research paper investigates the interaction between three selected dairy products and elderberry powder with each other for the first time.

The purpose of this study is to examine the impact of sustainable supply chain management (SSCM) practices on both competitive advantage (CA) and organizational performance (OP) in the manufacturing sector in Ethiopia.

Data for the study were collected from a sample of 221 manufacturing companies operating in the four manufacturing groups/sectors in Ethiopia. In addition, data analysis was performed using the partial least squares method, which is a variance-based Structural Equation Modeling approach in the Smart-PLS software version (SmartPLS 4.0).

Based on the statistical analysis of the collected data, it demonstrates that SSCM has a significant and positive impact on both competitive advantage and organizational performance. Furthermore, statistical findings offer proof of the clear connection between competitive advantage and organizational performance. Moreover, competitive advantage indirectly mediates the relationship between SSCM and OP.

The primary limitation of this research is its reliance on a cross-sectional design. The generalizability of the findings obtained from the present study may be hindered. The variable under investigation in this research assessed organizational performance, a concept that is widely acknowledged to be extremely dynamic.

The study provides managers and researchers with valuable information on Sustainable Supply Chain Management strategies and how they influence competitive advantage and organizational performance in commercial and industrial environments.

This paper adds to the body of knowledge by providing new data and empirical insights into the relationship between SSCM practices and the performance of manufacturing companies in Ethiopia.

The development of large language models (LLMs) has significantly enhanced capabilities in AI-powered text generation. The impact of this new technology, which is expected to significantly influence our work and private lives, on document creation is still largely unknown. This article is inspired by the article “What Kind of Science Can Information Science Be” by Buckland (2012).

Buckland’s (2012) considerations about the human’s central role in information science are applied to the question of how the human’s central role in documentation could be affected by the devolvement of LLMs. The Model of Documentation Activity (MoDA) (Donner, 2023) is used as a framework to evaluate the influence of LLM outputs as part of the documentation activity. LLM outputs are placed within the model after an analysis of their potential to be a document from conventional, functional and semiotic points of view.

An advanced and more detailed version of the MoDA, the MoDA2, is presented, which is intended to clarify the potential implications of LLMs on the documentation activity.

This article coins the term “artificially blended testimony” for LLM output as novel data provider along nature and testimony and demonstrates the value of the MoDA2 for exploring the impact of technological advances such as LLMs on the documentation process.

The emergence of social media platforms has revolutionized how brands develop partnerships with social media influencers (SMIs). However, users are seeking more meaningful engagement with SMIs, and little is known about how brands can shift their focus from transient engagements to continued engagement that builds long-term brand–consumer relationships. Extant research has provided inconsistent findings regarding consumer engagement behavior. To address this knowledge deficit, we contribute to the consumer engagement literature by developing and testing a conceptual model that explores and explains the relationships between the factors that influence continued engagement intention (CEI), a form of behavioral intention.

A literature review was conducted to identify gaps and develop a theoretically informed conceptual model and hypotheses. Survey data from 604 Instagram SMI followers were analyzed using partial least squares structural equation modeling using SmartPLS 3.3.3 to assess the structural model relationships and conduct post hoc analysis.

The findings suggest that it is important to positively influence consumer responses to elicit CEI. Furthermore, homophily attitudes toward SMIs moderate the relationship between SMI experience and CEI.

Brands must work with SMIs to create positive SMI experiences and develop CEI. Furthermore, SMIs should focus on brands that fit their lifestyles to enhance homophily attitudes and forge CEI.

This study contributes to the literature by combining social exchange and flow theories to develop and test a holistic framework for examining CEIs regarding SMIs and brands. The findings show that creating positive SMI experiences benefits brands seeking CEI.

This paper reviews the recent collapse of two cryptocurrency enterprises, FTX and Celsius. These two cases of institutional bankruptcy have generated criminal charges and other civil complaints, mainly alleging fraud against the CEOs of the companies. This paper aims to analyse the fraud leading to these bankruptcies, drawing on key concepts from the research literature on economic crime to provide explanations for what happened.

This paper uses a case study approach to the question of how large financial institutions can go off the rails. Two theoretical perspectives are applied to the cases of the FTX and Celsius collapses. These are the “normalisation of deviance” theory and the “cult of personality”.

In these two case studies, there is an interaction between the “normalisation of deviance” on the institutional level and the “cult of personality” at the level of individual leadership. The CEOs of the two companies promoted themselves as eccentric but successful examples of the visionary tech finance genius. This fostered the normalisation of deviance within their organisations. Employees, investors and regulators allowed criminal and highly financially risky practices to become normalised as they were caught up in the attractive story of the trailblazing entrepreneur making millions in the new cryptoeconomy.

This paper makes a contribution both to the case study literature on economic crime and to the development of general theory in economic criminology.