Search results

With increasing globalization, the importance of referring to cross-cultural contexts is also amplifying in the contemporary era. The models, framework and dimensions devoted to such situations are increasingly mannered in practice today. With due consideration derivation to the input manner, an organization’s performance is also taken aside for its increasing marginality. The following study aims to examine the American multinational oil and gas company operating in Kuwait's oil sector to evaluate the respect. The branch has a total of 600 employees, which were all included in the data collection phase. Hence, the results derived with cumulative aspects of leadership, power distance and organizational value as their impact on human resource management (HRM) functions.

Through the quantitative approach of a self-adapted questionnaire, 101 responses were collected, and through SPSS Version 22, results were discreet.

The results reverted with the manual that the cultural dimension of Hofstede, i.e. power distance, did not have an apparent impact on the HRM functions. Whilst leadership and organizational values had their dissolved set of effects on HRM functions of the chosen firm. However, HRM functions were apparent enough to have its impact upon leadership, power distance (PD) and organizational value accumulated. Opening to the opportunities where in the future studies, a greater extent of population as well as variables could be considered for a better impact.

The Major limitation of the study is related to the number of respondents as the research was conducted solely for the chosen branch of this private oil and gas firm in Kuwait, which makes its results limited and narrowed in the analysis phase. Moreover, the methodology selection did not do justice to the resulting research’s agenda, which was restricted due to the pandemic’s situation. Where with a better and respective methodology approach, better results could be attached.

The rationale of research refers to the gap concerning theoretical aspects within a field of business. As for the resulting study, in a cross-cultural management setting, the relevancy and implication of HRM functions concerning their transparency have not been explored. Globally, in different industries, the, study of similar nature has been conducted but has not examined, the fossil fuel industry particularly, which would be the focal point of this research.

This study aims to adopt a replication strategy based on Cherchem (2017), and hence this study investigates how generational involvement moderates the relationship between organizational culture and entrepreneurial orientation (EO) in Brazilian family businesses, disentangling each of the EO dimensions.

This study developed a survey with 107 Brazilian family businesses operating in the textile and clothing industries. Data were analyzed using structural equation modeling (SmartPLS-SEM).

The results for the direct paths indicate that clan and hierarchical cultures are positively related to EO. As for the moderating effect, only one generation of the family involved in management tends to stimulate a stronger relationship between the clan culture and the EO. In contrast, when multiple generations exist, the positive relationship between the EO hierarchical culture becomes stronger. Furthermore, this study found different relationships between organizational culture and each of the EO dimensions (proactiveness, innovativeness, risk-taking, competitive aggressiveness and autonomy) and differences in the moderating effect of generational involvement.

Unlike the findings of Cherchem (2017), the authors observed that, in addition to clan culture, hierarchical culture can also act as an enhancer of entrepreneurial strategies. On the other hand, generational involvement influences the relationship between organizational culture and the level of EO (and its dimensions), reinforcing those internal family characteristics that can foster entrepreneurial strategies in family businesses, whose findings align with Cherchem (2017). Moreover, it contributes to the investigation of each of the dimensions of EO separately.

Supply chain finance (SCF) has become a vital ingredient that fosters growth and provides flexibility to the global supply chain. Thus, it becomes essential to understand the factors that contribute to the success of the supply chain finance ecosystem (SCFE). This study aims to identify the critical success factors (CSFs) for the development of an efficient and effective SCFE. Based on their characteristics, the study intends to classify the factors into constructs and further establish a hierarchical relationship among the CSFs.

The study is based on empirical data collected from 221 respondents based on administered questionnaires. Exploratory factor analysis (EFA) is carried out on 16 selected factors (out of 21 proposed factors) based on the feedback of the experts and the factors were classified into four constructs. The total interpretive structural modeling (TISM) model was developed by identifying and finalizing CSFs of the SCFE. The model developed a hierarchical relationship between the various factors.

The study identified significant CSFs for the efficient and effective SCF ecosystem. Four constructs were developed by analyzing CSFs using the EFA. The finalized 16 CSFs modeled through the TISM and further hierarchical relationship established between the CSFs concludes that governmental policies and sectoral growth are the strongest driving forces and financial attractiveness is the weakest driving force. Based on the CSFs and the constructs identified, it was found that for the success of the SCF ecosystem, the existence of an economic ecosystem provides a facilitating framework for the overall development of the SCFE. Also, the trustworthiness among the partners fosters better relationships and results in financial feasibility and offers business opportunities for all the stakeholders.

This study will help the SCF partners across the globe understand the CSFs that ensure development of mutually beneficial SCF ecosystems and provide flexibility to the supply chain partners. The CSFs would provide insights to the policymakers and the financial intermediaries for providing a conducive environment for the development of a better SCF ecosystem. Also, the buyers and sellers would understand the CSFs that would develop better relationships among them and ultimately help in development of business across the globe.

The study identifies the CSFs for the SCF ecosystem. The study ascertains the significant factors and classifies them into clusters using EFA. Unlike the literature available, the paper develops the hierarchical relationship between the CSFs and develops a model for an efficient and effective SCF ecosystem.

Farmers in India are hesitant to adopt organic farming (OF) despite high demand for organic products and favorable policy measures to encourage the practice. Therefore, this study aims to assess the OF adoption barriers faced by Indian farmers using a systematic method of multi-criteria decision making (MCDM).

The authors explored eighteen barriers to OF adoption by conducting a literature survey and discussion with experts on OF. Then the authors used a combined method of Grey Decision Making Trial and Evaluation Laboratory (DEMATEL) and Interpretive Structural Modeling (ISM) methodology to rank the barriers and analyze their interactions.

The analysis reveals that “Lack of knowledge and information,” “lack of financial capacity of farmers’ and “lack of institutional support” are the cause (independent) barriers that significantly impact other barriers. The top three effect (dependent) barriers are “lack of availability of organic inputs,” “personal characteristics such as age, attitudes and beliefs” and “lack of premium pricing,” which are affected by the other barriers.

This research work will help the decision makers understand the barriers to OF adoption in India and their interrelationships. The proposed framework enables them to focus on the high-priority independent barriers, which will subsequently impact the other dependent barriers.

Previous research on OF adoption barriers lacked a multifaceted scientific approach, which is necessary because OF is a complex system and needs a thorough investigation to assess the interaction between the barriers. The research attempts to fill this gap and addresses the complex nature of adoption barriers.

Resilience and purpose have been associated with work well-being. However, limited empirical evidence exists on the liaison between these constructs and Portuguese school leaders' psychological and physical distress and work well-being. This study explored the relationships between resilience, purpose, and well-being in 921 teachers who perform leadership roles in Portuguese schools.

Participants filled out an online self-report questionnaire, providing information on sociodemographic variables. Additionally, they responded to four questionnaires evaluating purpose (PURP), resilience (RES), psychological distress (PsyD), physical distress (PhyD), and work well-being (WWB). Data were analysed through structural equation modelling and mediation analysis.

The findings show that psychological and physical distress negatively predict school leadership work well-being, whereas resilience and purpose positively predict work well-being. The mediating analysis revealed one indirect mediation effect: resilience buffered the psychological distress and work well-being relationship.

The main findings align with existing literature and uniquely contribute to understanding the interplay between resilience, purpose, psychological and physical distress, and work well-being. This study provides empirical support for a conceptual model claiming that purpose and resilience promote school leaders' work well-being.

This study offers practical insights into how generative artificial intelligence (AI) can enhance responsible manufacturing within the context of Industry 5.0. It explores how manufacturers can strategically maximize the potential benefits of generative AI through a synergistic approach.

The study developed a strategic roadmap by employing a mixed qualitative-quantitative research method involving case studies, interviews and interpretive structural modeling (ISM). This roadmap visualizes and elucidates the mechanisms through which generative AI can contribute to advancing the sustainability goals of Industry 5.0.

Generative AI has demonstrated the capability to promote various sustainability objectives within Industry 5.0 through ten distinct functions. These multifaceted functions address multiple facets of manufacturing, ranging from providing data-driven production insights to enhancing the resilience of manufacturing operations.

While each identified generative AI function independently contributes to responsible manufacturing under Industry 5.0, leveraging them individually is a viable strategy. However, they synergistically enhance each other when systematically employed in a specific order. Manufacturers are advised to strategically leverage these functions, drawing on their complementarities to maximize their benefits.

This study pioneers by providing early practical insights into how generative AI enhances the sustainability performance of manufacturers within the Industry 5.0 framework. The proposed strategic roadmap suggests prioritization orders, guiding manufacturers in decision-making processes regarding where and for what purpose to integrate generative AI.

Drawing on the cognitive–affective–conative framework, this study aims to develop a model of service robot acceptance in the hospitality sector by incorporating both cognitive evaluations and affective responses.

A mixed-method approach combining qualitative and quantitative methods was used to develop measurement and test research hypotheses.

The results show that five cognitive evaluations (i.e. cuteness, coolness, courtesy, utility and autonomy) significantly influence consumers’ positive affect, leading to customer acceptance intention. Four cognitive evaluations (cuteness, interactivity, courtesy and utility) significantly influence consumers’ negative affect, which in turn positively affects consumer acceptance intention.

This study provides significant implications for the design and implementation of service robots in the hospitality and tourism sector.

Different from traditional technology acceptance models, this study proposed a model based on the hierarchical relationships of cognition, affect and conation to enhance knowledge about human–robot interactions.

Develop a comprehensive framework for assessing the knowledge organization systems (KOSs), including the taxonomy of Wikipedia and the ontologies of Wikidata, with a specific focus on enhancing management and retrieval with a gender nonbinary perspective.

This study employs heuristic and inspection methods to assess Wikipedia’s KOS, ensuring compliance with international standards. It evaluates the efficiency of retrieving non-masculine gender-related articles using the Catalan Wikipedian category scheme, identifying limitations. Additionally, a novel assessment of Wikidata ontologies examines their structure and coverage of gender-related properties, comparing them to Wikipedia’s taxonomy for advantages and enhancements.

This study evaluates Wikipedia’s taxonomy and Wikidata’s ontologies, establishing evaluation criteria for gender-based categorization and exploring their structural effectiveness. The evaluation process suggests that Wikidata ontologies may offer a viable solution to address Wikipedia’s categorization challenges.

The assessment of Wikipedia categories (taxonomy) based on KOS standards leads to the conclusion that there is ample room for improvement, not only in matters concerning gender identity but also in the overall KOS to enhance search and retrieval for users. These findings bear relevance for the design of tools to support information retrieval on knowledge-rich websites, as they assist users in exploring topics and concepts.

This study examines the antecedents and dynamics of authoritarian leadership and extends the effects of managers' sleep quality to employee behavior.

On the basis of self-regulation theory, 513 unit day samples were analyzed using cross-level path analysis and a Monte Carlo simulation test.

Managers' sleep quality is positively related to authoritarian leadership and positive emotions play a mediating role. Authoritarian leadership is positively related to employees' counterproductive behavior. Managers' sleep quality affects employees' counterproductive behavior through managers' positive emotions and authoritarian leadership.

Individuals should learn to reduce stress and maintain a positive mood. Organizations should reduce employees' overtime work and work stress and find other ways to improve employees' sleep quality.

First, we considered authoritarian leadership to be dynamic and studied it on a daily basis. Second, we studied the antecedents of authoritarian leadership from the perspective of leaders' states (sleep quality and emotions). Third, we discussed the effect of managers' sleep quality on employee behavior.

The rising number of food recalls has raised concerns about complexity, globalization and weak governance in the food supply chain. This paper aims to investigate the recall of plant-based products with data from the US Food and Drug Administration.

Introducing the structural topic modeling method allowed us to test theories on recall in the context of sustainable food consumption, enhancing the understanding of food recall processes. This approach helps identify latent topics of product recalls and their interwoven relationships with various stakeholders.

The results answer a standing research call for empirical investigation in a nascent food industry to identify stakeholders’ engagements for food safety crisis management for corporate social responsibility practices. This finding provides novel insights on managing threats to food safety at an industry level to extend existing antecedents and consequences of product recall at a micro level.

For practitioners, this empirical finding may provide insights into stakeholder management and develop evidence-based strategies to prevent threats to food safety. For public policymakers, this analysis may help identify patterns of recalls and assist guidelines and alarm systems (e.g. EU’s Rapid Alert System for Food and Feed) on threats in the food supply chain.

Two detected clusters, such as opportunisms of market actors in the plant-based food system and food culture, from the analysis help understand corporate social responsibility and food safety in the plant-based food industry.