bluuebunny/crossref_metadata_2025_split huggingface dataset:
An assessment of government measures in combatting COVID-19 using ISM and DEMATEL modelling
Authors: Priya Samant Shant , Priya Meenu Shant , Jain Vineet , Dixit Sushil Kumar 
Published: August 2021

PurposeThe purpose of this paper is to evaluate the interplay of various measures used by different governments around the world in combatting COVID-19.Design/methodology/approachThe research uses the interpretative structural modelling (ISM) for assessing the powerful measures amongst the recognized ones, whereas to establish the cause-and-effect relations amongst the variables, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is used. Both approaches utilized in the study aid in the comprehension of the relationship amongst the assessed measures.FindingsAccording to the ISM model, international support measures have the most important role in reducing the risk of COVID-19. There has also been a suggestion of a relationship between economic and risk measures. Surprisingly, no linkage factor (unstable one) was reported in the research. The study indicates social welfare measures, R&D measures, centralized power and decentralized governance measures and universal healthcare measures as independent factors. The DEMATEL analysis reveals that the net causes are social welfare measures, centralized power and decentralized government, universal health coverage measure and R&D measures, while the net effects are economic measures, green recovery measures, risk measures and international support measures.Originality/valueThe study includes a list of numerous government measures deployed throughout the world to mitigate the risk of COVID-19, as well as the structural links amongst the identified government measures. The Matrice d'Impacts croises-multiplication applique and classment analysis can help the policymakers in understanding measures used in combatting COVID-19 based on their driving and dependence power. These insights may assist them in employing these measures for mitigating the risks associated with COVID-19 or any other similar pandemic situation in the future.
Influence of intellectual capital and integration on operational performance: big data analytical capability perspectives
Authors: Chen Chun-Hsi Vivian , Chen Yu-Cheng 
Published: August 2021

Purpose
In the digital economy, as artificial intelligence applications increase, big data analytical capability (BDAC) plays a crucial role, and intellectual capital is growing in importance. This study aims to examine the possible benefits and effects of intellectual capital, BDAC and integrations on operational performance.

Design/methodology/approach
This study collected data from firms in Asia, and a total of 257 senior managers completed a questionnaire. Confirmatory factor analysis and structural equation modeling (SEM) is used for statistical analysis.

Findings
Intellectual capital positively correlates with BDAC, and BDAC positively relates to internal integration but not to external integration. Furthermore, both internal integration and external integration positively correlate with operational performance. This study supports that internal integration is a significant mediator in the influence of BDAC on operational performance.

Practical implications
First, the authors provide empirical evidence that intelligent capital in intangible resources helps firms to build BDAC. Second, this study stresses the importance of BDAC in business, which enhances the integration of the whole supply chain and results in superior operational performance.

Originality/value
This is a first attempt from the perspective of intelligent capital and uses SEM to emphasize the relationships among BDAC, supply chain integration and performance based on unique and irreplaceable intangible resources, thus providing a new perspective on the contributing factors of BDAC.
Where is the visible commitment to gender in the advertised content of UK management degree programmes?
Authors: Perriton Linda , Elliott Carole , Humbert Anne Laure 
Published: August 2021

Purpose
The purpose of this paper is to establish the extent to which prospective students can see a visible commitment to study gender in the UK business/management school curriculum prior to enrolment.

Design/methodology/approach
A content analysis of the descriptions of modules offered as part of business and management degrees offered by 112 UK universities was conducted. The analysis was restricted to the publicly available information on the websites visible to prospective students. Descriptive statistics regarding the distribution of gender topics across programmes and higher education institutions are presented in addition to university group affiliation (e.g. Russell Group) and accreditation in respect of variables.

Findings
The analysis reveals significant gaps in the undergraduate and taught postgraduate offerings of UK business schools that the authors suggest are reflective of subject silos, and institutional risk reduction strategies.

Research limitations/implications
The authors conclude by arguing that accreditation bodies can use their influence to leverage change and to ensure gender content becomes core to curriculum design and its visibility as part of the practice of management to prospective students.

Originality/value
This study provides a benchmark for the visibility of gender as an issue and perspective within UK business/management school offerings.
The role of literary festival attendance in generating attendees' health and well-being
Authors: Rossetti Giulia 
Published: August 2021

PurposeThis paper examines the under-investigated well-being outcomes of literary festival attendance. It is an exploratory study into how a festival contributes to attendees' overall well-being. Drawing from the literature on well-being and festival studies, this paper seeks to understand the well-being dimensions generated by festival attendance and the factors that promote attendees' health and well-being.Design/methodology/approachThis exploratory study adopts an inductive and interpretivist approach. Observations, 45 on-site interviews and 17 follow-up interviews were undertaken at one literary festival in Ireland. Thematic analysis was used to analyse data and identify key themes.FindingsThe findings reveal that attendees perceived a sense of well-being that included five interconnected dimensions: social, mental, emotional, spiritual and physical. Results also show that five factors generated attendees' overall well-being: festival programme, social environment, place, weather conditions and attendees' background.Originality/valueThis paper presents a new comprehensive model that shows that festival attendance has the potential to generate five interconnected dimensions of attendees' well-being. The model also captures the five main factors that can promote attendees' health and well-being. The model is proposed to guide further research on attendees' overall well-being is associated with festival attendance.
Analysis of challenges in sustainable human resource management due to disruptions by Industry 4.0: an emerging economy perspective
Authors: Agarwal Vernika , Mathiyazhagan Kaliyan , Malhotra Snigdha , Saikouk Tarik 
Published: August 2021

PurposeSustainable human resource management highlights the importance of the eighth sustainable development goal, “decent work and economic growth”. Thus, the purpose of this study is to align human resource practices and policies with Industry 4.0 is imperative.Design/methodology/approachThe authors aimed to identify key challenges of sustainable human resource implementation in view of Industry 4.0 and to analyse these identified challenges by prioritising them for effective Industry 4.0 implementation in an emerging economy such as India. A mixed-methods approach was utilised to prioritise identified challenges. Semi-structured interviews were conducted with experts, academicians and industry mangers. Transcribed interviews were run in NVivo to emerge into broad themes/challenges, which were prioritised using fuzzy best–worst methodology.FindingsThe performance appraisal challenge holds maximum importance, followed by learning and development. This finding signifies the need for instilling job security and continuous learning opportunities for employees amidst all disruption caused by Industry 4.0.Practical implicationsThis work enhances the link between sustainability, disruptive technologies and Industry 4.0 to transform economic outlooks, leading to improvement under economic aspects through the adoption of sustainable human resource practices into workplaces and society.Originality/valueSustainable human resource management has mostly focused on employee welfare. However, the major challenges of disruption caused by Industry 4.0 have not been addressed in the literature. The upskilling and reskilling requirements due to disruptions by Industry 4.0 range from recruitment to performance appraisal and every facet that relates to an employee's cycle in a company. Hence, there is a need to identify critical challenges for optimum adaptation to upcoming industry demands.
Line managers' middle-levelness and driving proactive behaviors in organizational interventions
Authors: Helland Eyvind , Christensen Marit , Innstrand Siw Tone , Nielsen Karina 
Published: August 2021

PurposeThis paper explores line managers' proactive work behaviors in organizational interventions and ascertains how their management of their middle-levelness by aligning with the intervention, or not, influences their proactive work behaviors.Design/methodology/approachThe authors’ findings are based on thematic analysis of 20 semi-structured interviews of university heads of departments responsible for managing organizational interventions.FindingsThe authors found that line managers engaged in a range of proactive work behaviors to implement the organizational intervention (i.e. “driving proactive behaviors”). Furthermore, line managers tended to engage in driving proactive behaviors when they aligned with the organizational intervention, but not to when unconvinced of the intervention's validity.Practical implicationsThese findings highlight the importance of senior management and HR investing sufficient time and quality in the preparation phase to ensure all actors have a shared understanding of the organizational interventions' validity.Originality/valueThis is the first study to explore line managers' proactive work behaviors to implement an organizational intervention, and how the line managers' management of their middle-levelness influence these proactive work behaviors.
Knowledge sharing in online smoking cessation communities: a social capital perspective
Authors: Li Chenglong , Li Hongxiu , Suomi Reima , Liu Yong 
Published: August 2021

PurposeAlthough knowledge sharing in online communities has been studied for many years, little is known about the determinants for individuals' knowledge sharing in online health communities (OHCs) surrounding smoking cessation. Examining the determinants of knowledge sharing in such OHCs from the social capital perspective may prove particularly enlightening.Design/methodology/approachA questionnaire-based online user survey of two smoking cessation OHCs, one based in Finland and one based in China, was performed. Performing data analysis with partial least squares (SmartPLS 3.0), the authors developed a model conceptualizing the structural, cognitive and relational dimensions of social capital as drivers for knowledge sharing in smoking cessation OHCs, with users' stage in giving up smoking as a moderator.FindingsThe results show that structural capital (social ties) and relational capital (reciprocity) are important motivators behind knowledge sharing in smoking cessation OHCs, and the authors found a moderating effect of the stage in quitting on the antecedents' relationship with knowledge sharing in these OHCs.Originality/valueThe study enriches understanding of knowledge sharing in smoking cessation OHCs, contributing to theory and identifying practical implications for such groups' administration.
Can we mend fences? A model of recovery processes of SME business-to-business relationships
Authors: Fleming Deirdre Mary , Tähtinen Jaana , Kelliher Felicity 
Published: August 2021

Purpose
This paper aims to develop a process model of business-to-business (B2B) relationship recovery after a transgression has placed the future of the relationship in doubt. The research questions ask, How are relationships recovered? and How does the relationship strength pre-transgression influence the recovery process?

Design/methodology/approach
The process model is empirically grounded with first-hand narratives of owner managers (OMs) and key personnel of Irish small and medium-sized enterprises (SMEs). Using the critical incident technique, 25 owner and manager interviews in 23 SMEs resulted in 48 recovery narratives.

Findings
The findings identify four types of outcomes flowing from two potential recovery process paths. The strength of the relationship pre-transgression and the desire to maintain the relationship influence the parties’ actions during the recovery process and the status of the relationship subsequently.

Research limitations/implications
The authors acknowledge that each narrative in the data are the informants’ construction of the phenomenon. The B2B relationship recovery process model offers OMs and SMEs a blueprint of what to expect, and how they might reach for recovery instead of the relationship ending.

Originality/value
Prior studies either treat recovery as a minor part of an ending process or focus on a single sub-process, leaving the overall process under-researched. This study contributes to the B2B relationship dynamics discussion with a processual view of the overall recovery process, including recovery sub-processes, paths and temporal outcomes in different types of relationships and takes into account the pre-transgression relationship.
An integrated perspective of value creation and capture: a systematic literature review
Authors: Minerbo Claudio , Brito Luiz Artur Ledur 
Published: August 2021

Purpose
The existing literature is fragmented across disciplines and does not provide a holistic, comprehensive view on how value is created, deployed and captured. This paper aims to provide a structured view of the current literature and facilitates a theoretical understanding of value creation and capture in buyer–supplier relationships.

Design/methodology/approach
A systematic literature review was conducted on 195 articles published in 21 leading journals in marketing, operations management and strategy disciplines.

Findings
An integrated, generalizable and expandable framework is proposed based on the causal or interactive relationship among four components, namely, dimensions of value creation; processes and interactions by which buyers and suppliers enable value creation; relationship characteristics that affect these components; and value capture. Two new areas for future studies are also suggested.

Research limitations/implications
The findings are based on papers published in peer-reviewed academic literature. Future studies could include more heterogeneous publications in languages other than English and/or professional journals to compare scholars' and managers' perspectives.

Practical implications
This study offers simple, practical guidelines that managers can apply in their real-world situations to increase the value they gain from their relationships.

Originality/value
The framework does not pretend to be exhaustive because such an attempt would be impractical. Rather, this study provides practical examples for each component, and shows how additional concepts and constructs can be incorporated to make it inclusive and generalizable. Two new manners of value capture other than price negotiations are presented (volume and collaborative benefits).
Testing the convergence and the divergence in five Asian countries: from a GMM model to a new Machine Learning algorithm
Authors: Magazzino Cosimo , Mele Marco , Schneider Nicolas 
Published: August 2021

PurposeThe purpose of this paper is to empirically test the economic convergence that operate between five selected Asian countries (namely Thailand, Singapore, Malaysia, the Philippines and Indonesia). In particular, it seeks to investigate how increased economic integration has impacted the inter-country income levels among the five founding members of ASEAN.Design/methodology/approachA new Machine Learning (ML) approach is applied along with a panel data analysis (GMM), and the application of KOF Globalization Index.FindingsThe Generalized Method of Moments (GMM) results highlight that the endogenous growth theory seems to be supported for the selected Asian countries, indicating evidence of diverging forces resulting from unequal growth and polarization dynamics. Overcoming the technical issues raised by the econometric approach, the new ML algorithm brings contrasted but interesting results. Using the KOF Globalization Index, the authors confirm how the last phase of globalization set the conditions for an economic convergence among sample members.Originality/valueUsing the KOF Globalization Index, the authors confirm how the last phase of globalization set the conditions for an economic convergence among sample members. As a matter of fact, the new LSTM algorithm has provided consistent evidence supporting the existence of converging forces. In fact, the results highlighted the effectiveness of the experiments and the algorithm we chose. The high predictability of the authors’ model and the absence of self-alignment in the values showed a convergence be-tween the economies.
Web-based financial reporting, social media and information asymmetry: the case of Saudi Arabia
Authors: Khlifi Foued 
Published: August 2021

PurposeThis paper aims to examine the effect of Web-based financial reporting and social media platforms on the proxies of information asymmetry in the Saudi Stock Exchange.Design/methodology/approachThe sample of this paper consists of 133 Saudi listed non-financial companies for the year 2019. Web-based disclosure level was measured using 25 items, and the social media platforms examined in this study are Facebook, Twitter and LinkedIn. The information asymmetry proxies are measured using the relative spread and the time-weighted average bid-ask spread.FindingsThe empirical results have shown that there is a negative and significant relation between Web-based financial reporting and the adoption of social media platforms and the proxies of information asymmetry. Indeed, the relative spread and the time-weighted average bid-ask spread decreased with increased Web-based reporting levels. Among three platforms (Facebook, Twitter and LinkedIn), the results show that only the use of Twitter as a channel for information disclosure has a negative and significant effect on information asymmetry proxies. Consequently, in the Saudi context, the authors demonstrate that the assumptions of the agency, stewardship and signaling theories are supported. Also, results reveal that the effect of information disclosure through websites and social media on reducing information asymmetry is stronger for large companies than small companies.Practical implicationsThe paper provides new insights into the role played by websites and social media platforms in the reduction of the information asymmetry in the stock market. Consequently, investors and regulatory authorities in the Saudi financial market must give great importance to online information disclosure and its implications for lowering information asymmetry. This empirical study informs regulators in Saudi Arabia to conduct the better practice of Web-based and social media financial reporting and to regulate the current practice of information disclosure. Besides, the obtained results have the potential to convince firms’ managers to improve online information disclosure to benefit from the reduction in information asymmetry.Originality/valueUnlike previous studies, this study investigates, simultaneously, the effect of Web-based and social media information disclosure on the proxies of information asymmetry in a developing economy. In addition, the hypotheses of this study are developed based on a set of theories (the agency, signaling and stewardship theories), to verify the applicability of these three theories in the Saudi context.
Geocaching in Texas state parks: a technology readiness analysis
Authors: KC Birendra , Leung Xi Y. 
Published: August 2021

Purpose
The purpose of this study is to apply the triangle model of technology and the technology readiness index (TRI) in a qualitative study design to explore the geocaching phenomenon in state parks.

Design/methodology/approach
A framework was developed to examine the triangular relationships between the park, geocaching and visitors. A total of 12 semi-structured interviews were conducted with Texas state park officials. A thematic analysis was used to analyze the interview data.

Findings
Three types of interactions (i.e. park-visitor, visitor-technology and park-technology) were identified. Although geocaching leads to positive recreational experiences for park visitors, the study also revealed the decreasing popularity of geocaching along with park officials’ apprehension regarding the placement of caches. The findings suggest that Texas state parks fall within the “Avoiders” stage in terms of technology readiness because of a low level of optimism and innovation and a high level of discomfort and insecurity toward geocaching technology.

Originality/value
The study contributes to the extant literature by adding new knowledge regarding geocaching in the context of state parks. This study is one of the first to apply the triangle model of technology to examine the trilateral relationships between parks, geocaching and visitors. The study also innovatively adopts the TRI in a qualitative study to identify the technology readiness stage of state parks.
Can country risks predict Islamic stock index? Evidence from Indonesia
Authors: Masrizal  , Sukmana Raditya , Al Mustofa Muhammad Ubaidillah , Herianingrum Sri 
Published: August 2021

Purpose
This study aims to examine the relationship between the Indonesian Islamic capital market, the country's risk and macroeconomic factors.

Design/methodology/approach
This study uses the Johansen cointegration test and the vector error correction model (VECM) on monthly data from January 2003 to March 2016 to examine the variables that influenced the Islamic capital market proxied by the Jakarta Islamic Index (JII).

Findings
The findings indicate the existence of short-term and long-term cointegrations between country risk (political, economic and financial risks), macroeconomic variables (industrial production index, inflation and oil price) and JII. In the long run, financial risk positively affects the JII, whereas economic risks and inflation are negatively related. In the short run, only inflation affect negatively the JII.

Practical implications
The study emphasizes the critical role of financial risk in affecting the Islamic capital market. Investors negatively respond to higher financial risk and react positively to more increased economic threats. The variable of financial risk has the highest coefficient, indicating that the investors favour a conducive financial environment in deriving JII.

Originality/value
This study extends the previous literature with an attempt to empirically examine the influence of Indonesia's country risk on the Islamic stock market through VECM.