bluuebunny/crossref_metadata_2025_split huggingface dataset:
Disruptive production process innovation for sustainable business: evidence from an emerging economy
Authors: Khan Md. Rahat , Arif Md. Zahir Uddin , Rammal Hussain Gulzar 
Published: October 2024

PurposeThe study aimed to develop a disruptive production process innovation model from an emerging economy's agro-based dairy farming perspective based on the case of a Bangladeshi model dairy farm named Central Cattle Breeding and Dairy Farm (CBBDF), Savar, Dhaka.Design/methodology/approachThe study used qualitative in-depth interviews, participants and document observation. Around 20 key informants were purposefully selected from the case organization.FindingsThe findings propose two different models for disruptive production process innovation toward sustainable agribusiness dairy farming from an emerging economy perspective and the modified process model from traditional dairy farms to modern dairy based on the stakeholders' (such as consumers, owners, managers and government) demand.Originality/valueThis study is the first attempt to develop a disruptive production process innovation and technology model for the dairy industry and its stakeholders' responsibilities from the experience of an emerging economy. The value of the research is in identifying factors under traditional dairy farming that need to be reduced and eliminated, and the factors under society, health concerns and value-added to existing farms need to be raised as per the global industry standard.
Economic policy uncertainty and the predictability of stock returns: impact of China in Asia
Authors: Chen Xiaoyue , Li Bin , Singh Tarlok , Worthington Andrew C. 
Published: October 2024

PurposeMotivated by the significant role of uncertainty in affecting investment decisions and China's economic leadership in Asia, this paper investigates the predictive role of exposure to Chinese economic policy uncertainty at the individual stock level in large Asian markets.Design/methodology/approachWe estimate the monthly uncertainty exposure (beta) for each stock and then employ the portfolio-level sorting analysis to investigate the relationship between the China’s uncertainty exposure and the future returns of major Asian markets over multiple trading horizons. The raw returns of the high-minus-low portfolios are then adjusted using conventional asset pricing models to investigate whether the relationship is explained by common risk factors. Finally, we check the robustness of the portfolio-level results through firm-level Fama and MacBeth (1973) regressions.FindingsApplying portfolio-level sorting analysis, we reveal that exposure to Chinese uncertainty is negatively related to the future returns of large stocks over multiple trading horizons in Japan, Hong Kong and India. We discover this is unexplained by common risk factors, including market, size, value, profitability, investment and momentum, and is robust to the specification of stock-level Fama and MacBeth (1973) regressions.Research limitations/implicationsOur analysis demonstrates the spillover effects of Chinese economic policy uncertainty across the region, provides evidence of China's emerging economic leadership, and offers trading strategies for managing uncertainty risks.Originality/valueThe findings of the study significantly improve our understanding of stock return predictability in Asian markets. Unlike previous studies, our results challenge the leading role of the US by providing a new intra-regional return predictor, namely, China’s uncertainty exposure. These results also evidence the continuing integration of the Asian economy and financial markets. However, contrary findings for some Asian markets point toward certain market-specific features. Compared with market-level research, our analysis provides deeper insights into the performance of individual stocks and is of particular importance to investors and other market participants.
Career transition and mentorship nexus: unmasking the mediating role of career adaptability
Authors: Orji Chibueze Tobias , Herachwati Nuri 
Published: October 2024

PurposeTo avoid indecisiveness and a lack of direction in making a successful career transition, it may be necessary to modify the career transition process through career mentorship (CM). The study aims to investigate career adaptability as pathways through which CM is related to trainees’ career transition.Design/methodology/approachA three times cross-sectional data were collected from 480 national industrial skills development program (NISDP) trainees among five industrial training fund (ITF) trainees in Southeastern Nigeria.FindingsThe analysis revealed that CM positively associated with the trainees’ career transition behaviors. CM is also positively associated with the trainees’ career adaptability. Also, career adaptability is positively associated with trainees’ career transition behaviors. Likewise, career adaptability mediated the link between CM and career transition behaviors.Originality/valueConducting the study in a previously neglected context extended our understanding of the indirect relationship between CM and trainees’ career transition behavior.
The impact of social ties on balanced vs combined innovation: the role of dynamic capabilities and innovation climate in knowledge-intensive business services firms
Authors: Khalid Khalizani , Ahmad Syed Zamberi , Behery Mohamed 
Published: October 2024

Purpose
This study aims to investigate the impact of business ties, political ties and dynamic capabilities on balanced and combined ambidextrous innovation within the knowledge-intensive business services sector using the dynamic capability view framework. It explores the mediation role of dynamic capabilities in the relationship between business and political tie with these forms of innovation. In addition, it examines how innovation climate moderates the relationship between dynamic capabilities and ambidextrous innovation.

Design/methodology/approach
Multilevel analysis was conducted on 520 individuals from 61 KIBSs firms in the UAE using AMOS 26.

Findings
Results showed that BT indirectly affect both balanced and combined AI, with a greater impact on combined innovation. However, DCs did not significantly mediate the relationship between PT and AI. In addition, the IC was found to moderate the effects of DCs on both types of AI, with a stronger effect on combined innovation.

Originality/value
This study contributes to the literature by highlighting the importance of DCs and climate in the context of innovation and ambidexterity and by advancing the understanding of how these capabilities and organizational factors promote superior innovation.
Scrutinizing a frugal lifestyle in spiritual dimensions: an Islamic ethical consumption framework
Authors: Pusparini Martini Dwi , Herianingrum Sri , Bahari Zakaria , Furqani Hafas 
Published: October 2024

Purpose
The purpose of this paper is to study in depth about frugal lifestyle and analyze it within the framework of the principles of Islamic consumption ethics.

Design/methodology/approach
This research uses a textual–contextual approach to explore the concepts of frugal and Islamic consumption by studying various existing literature.

Findings
The research findings highlight both similarities and notable differences between frugal and Islamic consumption. While they share aspects such as materialism, avoidance of materialism and support for sustainable consumption, the contrast lies in the fact that Islamic consumption is rooted in faith and devotion to Allah SWT. Unlike the primarily individual-focused and worldly orientation of frugal concepts, Islamic consumption is motivated by a commitment to individual desire and social balance, also well-being in both the present and the hereafter. Islamic consumption places an unique emphasis on social solidarity, a feature absent in the individualistic long-term goals of a frugal lifestyle.

Practical implications
This study offers a valuable contribution to marketers, particularly those who are engaged in the Islamic marketing field. Marketers are keen on understanding frugal consumers as a potential emerging market segment.

Originality/value
To the best of the authors’ knowledge, this study is considered the first attempt to link the idea of frugality with the Islamic ethical principles of consumption. It highlights how Muslims should comprehend the concept of frugality accurately, avoiding misinterpretations that portray it solely as a means to combat materialism and consumerism, as has been commonly understood.
Do schools have hindrance of quality to promote innovativeness? Examining the role of empowering leadership and stakeholder involvement
Authors: Birasnav M. , Dahiya Rinki , Bharti Teena 
Published: October 2024

PurposeSchools provide high priorities to offer innovative curricular and cocurricular programs, and leaders make necessary efforts to promote enablers and overcome disablers for sustaining their innovativeness. With the background of quality management and stakeholder theories, the present study examines the interplay of hindrances to quality between empowering leadership, stakeholder involvement and organizational innovativeness.Design/methodology/approachResponses of 157 American school principals collected through the Teaching and Learning International Survey 2018 by the Organization for Economic Cooperation and Development were used and analyzed to test the proposed hypotheses.FindingsResults show that empowering leadership behaviors of school principals support promoting organizational innovativeness, and involvement of stakeholders with the school activities also promotes organizational innovativeness. Interestingly, when American schools faced a high level of hindrance to providing quality education to their students, principals’ high level of empowering leadership behaviors promoted organizational innovativeness.Originality/valueThis is the first time in the literature that the interplay between empowering leadership, stakeholder involvement and hindrance of quality education has been examined to promote organizational innovativeness.
The extent of overtourism in some European locations using multi-criteria decision-making methods between 2014 and 2023
Authors: Nádasi Levente , Kovács Sándor , Szőllős-Tóth Andrea 
Published: October 2024

Purpose
Overtourism has been identified as a significant global problem with numbers of negative externalities. The purpose of this paper is to contribute to the establishment of a standard that objectively measures the extent of tourism to produce a dynamic ranking of selected European settlements, as there is a lack of studies using sophisticated statistical methods to analyse secondary data on overtourism.

Design/methodology/approach
The 28 selected sites, studied according to their involvement in overtourism, were ranked using multi-criteria decision-Mmaking Methods between 2014 and 2023. Rankings were calculated by VIKOR, TOPSIS and MMOORA, and an aggregate ranking was created by using the cross-entropy optimization. Additionally, the annual changes in the rankings were presented graphically using principal component analysis on a two-dimensional space, referred to as the “sites' space.” Finally, the sites were clustered into three distinct groups based on their level of overtourism: less, medium and more. This was achieved through the use of the K-means algorithm.

Findings
Following the onset of the pandemic in 2020, there was a notable decline in overtourism. However, following the year 2021, the numbers began to rise once more, and by 2022, they had returned to their pre-pandemic levels. Among the methods, MMOORA demonstrated the most effective performance in comparison to the optimal ranking.

Originality/value
The applied methods with novel rank aggregation could also shed light on the most relevant indicators to overtourism. These included the number of nights spent in paid accommodation per population, the number of overnight visits per population and the number of air passengers.
Big data analytics managerial skills and organizational agility: a moderated mediation model
Authors: Zhang Mengru , Wang Yuting , Wang Wei 
Published: October 2024

PurposeAlthough big data analytics managerial skills (BDAMS) offer opportunities for firms to foster organizational agility, existing studies present inconclusive indications of this impact, with an overlooking of the intermediate pathways involved. This study explored how BDAMS affect organizational agility by investigating the mediation effect of data-driven organizational learning (DDOL) and the moderating roles of technological and market turbulence.Design/methodology/approachThis study employed mediation and moderated mediation analyses to test the hypotheses using data collected from listed Chinese firms. Furthermore, we performed a fuzzy set qualitative comparative analysis (fsQCA) as a supplementary approach to identify the configurations that lead to organizational agility.FindingsThis study shows that DDOL partially mediates the relationship between BDAMS and organizational agility. Besides, technological and market turbulence positively moderate the effect of DDOL on organizational agility and the mediation effect of DDOL. Our additional analyses also reveal several patterns of conditions that facilitate agility.Originality/valueThis study offers a comprehensive exploration of the relationship between BDAMS and organizational agility by verifying the mediating effect of DDOL and moderating effects of technological and market turbulence. In addition, the fsQCA results highlighted the combinatorial effects of key factors in this study, reinforcing and refining the moderated mediation results.
A dynamic capability perspective on the impact of big data analytics and enterprise architecture on innovation: an empirical study
Authors: Pathak Sunil , Krishnaswamy Venkataraghavan , Sharma Mayank 
Published: October 2024

PurposeThe prevailing conceptualization of information system (IS) capabilities, rooted in the resource-based view (RBV) framework, tends to focus on unique firm resources. In the digital age, as emphasized by dynamic capabilities (DC), resource reconfiguration is critical in maintaining strategic advantage. This paper focuses on big data analytics capabilities (BDAC) from a DC perspective to present a novel conceptualization of BDAC–DC. We examine its effects on product, business model and business process innovation, including the effects of enterprise architecture (EA) on the BDAC business model innovation relationship.Design/methodology/approachThis research presents a novel DC-based BDAC conceptualization, operationalized as a hierarchical construct. A survey-based approach is used for data collection and data analysis is done using partial least squares structural equation modeling (PLS-SEM).FindingsThe novel conceptualization and the effects of BDAC DC on BDA sensing-seizing and reconfiguration capacities support BDAC’s functional and evolutionary roleplay. Empirical results confirm the positive effects of BDAC–DC on first-order value targets (innovation) and the moderating effects of EA.Research limitations/implicationsThe novel BDAC–DC conceptualization has several implications for BDAC, DC, EA and business value research. Practicing managers must adopt a multifaceted approach to BDAC development by considering non-technical and organizational factors, collaborate with their business counterparts to explore unique big data ideas, initiate proof-of-concept projects to secure support and allocate resources synchronously, considering a multidimensional view of the process, product and business model innovation.Practical implicationsPracticing managers must adopt a multifaceted approach to BDAC development by considering non-technical and organizational factors, collaborate with their business counterparts to explore unique big data ideas, initiate proof-of-concept projects to secure support and allocate resources synchronously, considering a multidimensional view of the process, product and business model innovation for synergistic outcomes.Originality/valueTo the best of our knowledge, this research is the first attempt toward DC-based BDAC conceptualization, empirical validation of first-order effects on various forms of innovation and the often-overlooked role of critical EA capability.
Included and engaged: the significance of perceived inclusion among healthcare workers
Authors: Mashhady Arash 
Published: October 2024

PurposeThis study investigates the impact of perceived inclusion among healthcare employees on intrinsic motivation and its subsequent effects on work engagement and stress levels. Drawing from multiple theoretical frameworks, the study hypothesizes the following: (a) perceived inclusion positively influences employees' intrinsic motivation, and (b) perceived inclusion and intrinsic motivation serve as resources that enhance employee well-being by promoting work engagement and reducing stress.Design/methodology/approachData were collected from 407 healthcare workers across the European Union. The research objectives were achieved through statistical analysis of the gathered responses.FindingsThe results indicate a positive relationship between perceived inclusion and intrinsic motivation. Importantly, both perceived inclusion and intrinsic motivation emerged as significant predictors of work engagement. Additionally, perceived inclusion was found to have a negative association with stress levels, underscoring its importance in healthcare management.Research limitations/implicationsThe study is subject to certain limitations, including the cross-sectional design and reliance on self-reported data, which may affect the generalizability of the findings.Practical implicationsThe findings highlight the importance of fostering perceived inclusion and intrinsic motivation among healthcare employees to enhance work engagement and reduce stress, thus offering valuable insights for healthcare management practices.Originality/valueThis study contributes to the existing literature by examining the complex interplay between perceived inclusion, intrinsic motivation, work engagement and stress within the healthcare sector. It also identifies avenues for future research in this area.
Social sustainability in the hospitality and tourism supply chains: what can we learn from existing research and what remains unexplored?
Authors: Elbelehy Chéhab , Crispim José 
Published: October 2024

PurposeThis research systematically reviews the literature on social sustainability within hospitality and tourism supply chains (H&T SCs). The aim is to identify research approaches, emerging themes, geographic and sectoral scopes and current gaps in understanding social sustainability practices in this sector.Design/methodology/approachThe review has been carried out using the “Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines” (PRISMA). The authors analyzed 17 peer-reviewed journal papers from 2008 to the present.FindingsEarly research focused on qualitative methods and developed countries, while recent studies have shifted to quantitative approaches. There is a notable gap in using multi-criteria decision-making for social sustainability. The review identified eight categories of social practices, with the most attention given to “society and community development” and the least to “human rights.”Research limitations/implicationsTo enhance social sustainability, businesses and policymakers should focus on improving supply chain collaboration, standardizing social sustainability metrics, assessing stakeholder perceptions and supporting small enterprises in developing countries. This review is limited to English open-access journals and excludes studies in other languages. Additionally, by not including articles on sustainable tourism or development – which often emphasize environmental and economic aspects – important social dimensions may have been overlooked. Future research should broaden search parameters to achieve a more comprehensive understanding of social sustainability in H&T SCs.Originality/valueThis study addresses a critical gap in the literature on social sustainability within H&T SCs, particularly in databases like Web of Science and Scopus, offering new insights and directions for future research.
The impact of intellectual capital and market capitalization on corporate investment decisions: exploring the mediating and moderating effect of knowledge sharing and the COVID-19 pandemic
Authors: Thi Nhat Minh To , Dinh Nguyen Phan 
Published: October 2024

PurposeThis paper examines the effect of intellectual capital (IC) and market capitalization (MC) on corporate investment decisions (ID) through the mediating and moderating effects of knowledge/information sharing (KS) and the Covid-19 pandemic.Design/methodology/approachWith the use of SPSS 26 and SmartPLS version 3.0, the partial least square structural equation modelling (PLS-SEM) technique is employed with 1,036 observations to examine the effects.FindingsOur findings show that IC and social interactions (SI) have a positive effect on KS. KS affects positively both MC and ID. KS has the mediating and moderating effects while the Covid-19 has the moderating impact on ID.Practical implicationsThis research suggests that company leaders should understand the important role of IC and MC in enhancing ID through KS. They should pay attention to MC to enhance their investment and SI among employees, partners, consumers and authorities should be encouraged.Originality/valueThis research contributes to the existing literature by employing the perceptual scale to examine the effect of IC and MC, the mediating and moderating effects of KS, and analyze the moderating role of the Covid-19 on ID. It also expands the current models by including the Covid-19 and MC to clarify the ID determinants. New measurements of MC and the Covid-19 constructed are also another contribution.
Understanding critical service factors in neobanks: crafting strategies through text mining
Authors: Bhatnagr Puneett , Rajesh Anupama , Misra Richa 
Published: October 2024

Purpose
This study aims to analyse and understand customer sentiments and perceptions from neobanking mobile applications by using advanced machine learning and text mining techniques.

Design/methodology/approach
This study explores a substantial large data set of 330,399 user reviews available in the form of unstructured textual data from neobanking mobile applications. This study is aimed to extract meaningful patterns, topics, sentiments and themes from the data.

Findings
The results show that the success of neobanking mobile applications depends on user experience, security features, personalised services and technological innovation.

Research limitations/implications
This study is limited to textual resources available in the public domain, and hence may not present the entire range of user experiences. Further studies should incorporate a wider range of data sources and investigate the impact of regional disparities on user preferences.

Practical implications
This study provides actionable ideas for neobanking service providers, enabling them to improve service quality and mobile application user experience by integrating customer input and the latest trends. These results can offer important inputs to the process of user interaction design, implementation of new features and customer support services.

Originality/value
This study uses text mining approaches to analyse neobanking mobile applications, which further contribute to the growing literature on digital banking and FinTech. This study offers a unique view of consumer behaviour and preferences in the realm of digital banking, which will add to the literature on the quality of service concerning mobile applications.