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This study explores the link between ISO 9001 certification, personal data protection and firm performance using financial balance sheet and survey data. The security aspect of data protection is analyzed based on the major requirements of the General Data Protection Regulation and mapped to the relevant controls of the ISO/IEC 27001/27002 standards.

The research analysis is based on 96 ISO 9001–certified and non-certified publicly traded manufacturing and service firms that responded to a structured questionnaire. The authors develop and empirically test their theoretical model using the structural equation modeling technique and follow a difference-in-differences econometric modeling approach to estimate financial performance differences between certified and non-certified firms accounting for the level of data protection.

The estimates indicate three core dimensions in the areas of “policies, procedures and responsibilities,” “access control management” and “risk-reduction techniques” as desirable components in establishing the concept of data security. The estimates also suggest that the data protection level has significantly impacted the performance of certified firms relative to the non-certified. Controlling for the effect of industry-level factors reveals a positive relationship between data security and high-technological intensity.

The results imply that improving the level of compliance to data protection enhances the link between certification and firm performance.

This study fills a gap in the literature by empirically testing the influence of data protection on the relationship between quality certification and firm performance.

This study aims to investigate the influence of information and communication technology (ICT) capabilities on supply chain fraud and sustainability within the context of Ghana’s small and medium-sized enterprises (SMEs). Additionally, the research explores the mediating role of supply chain fraud in the relationship between ICT capabilities and supply chain sustainability.

Data were collected from 102 respondents within Ghana’s SME sector, and the research employed the dynamic capability theory as the conceptual framework. The study utilized partial least squares-structural equation modeling (PLS-SEM) to develop and analyze the proposed model.

The results of the study reveal a significant reduction in supply chain fraud attributable to enhanced ICT capabilities within Ghanaian SMEs. Moreover, ICT capabilities exert a significant positive influence on supply chain sustainability. Importantly, supply chain fraud emerges as a mediator, elucidating its role at the nexus of supply chain sustainability and ICT capabilities.

This research contributes to the limited body of evidence on the interconnectedness of ICT capabilities, supply chain fraud and supply chain sustainability, particularly within the context of Ghanaian SMEs. Notably, this study pioneers an examination of the mediating impact of supply chain fraud on the relationship between ICT capabilities and supply chain sustainability.

A growing body of research has suggested that the fallout of the Covid-19 pandemic has disproportionately impacted vulnerable groups such as working women, parents and older adults. Accordingly, and via the lens of social role and identity theories on gender and age at work, the authors examined the intersection of age, gender and potential caregiving responsibilities on worker well-being, work-family conflict and performance while working remotely during the Covid-19 pandemic.

In all, 1,174 Turkish job incumbents working from home either full- or part-time responded to a survey measuring self-reported anxiety, depression, stress, work-to-family conflict, family-to-work conflict and performance in the summer of 2020.

Despite using Bayesian modeling, good sample variability on age, gender and caregiving responsibilities, data collection timing allowing for the maximization of variance in individual attitudes toward working from home during the pandemic, outcome measures that evidenced excellent reliability and reasonably good data fit, and the inclusion of appropriate covariates and stringent robustness tests, hypothesized effects were overall found to be null.

The authors suggest that if remote work helps level the playing field, then that is impetus for organizations to further transition into such work arrangements.

The authors speculate on these counterintuitive results and suggest implications for future research and practice on the confluence of remote work and workplace diversity, including the potential benefits of remote work for women and older adults, the role of cultural values and the use of Bayesian methods to infer support for the null.

This study aims to examine the co-creation of customer experiences at different levels in service ecosystems, analyzing the case of a tourist destination.

A questionnaire was designed based on previously validated scales. The questionnaire was distributed through the social media platforms Facebook and Instagram. The survey yielded 1,476 valid responses for three types of destinations. Structural equation modeling and multigroup analysis were performed to test the hypotheses.

Aggregate service experience and memorable customer experience (MCE) in service ecosystems are determined by customer experiences at a dyadic level. Service experience at the ecosystem level is formed from ordinary experiences at the actor level, while MCE is formed from extraordinary experiences at the dyadic level. The type of ecosystem moderates the relationships between the variables but does not alter the importance of each of them.

The relationship between the co-creation of customer experiences at different levels of service ecosystems (dyadic vs aggregate) is addressed. A relationship is established between the ordinary and extraordinary character of experiences and their memorability at the ecosystem level.

The purpose of this study is twofold: first, to examine the direct relationship of organizational justice (OJ), psychological empowerment (PE), Leader Member Exchange (LMX), organizational citizenship behavior (OCB), LMX on PE and OCB and PE on OCB; and second, to investigate the mediating role of PE between OJ and OCB and between LMX and OCB in the service industry in a non-Western context.

A quantitative questionnaire was used to test the proposed hypotheses of the study. From employees working in service providing organizations in the UAE, 364 usable responses had been collected and data was analyzed using structural equation modeling (SEM).

OJ significantly influences PE and LMX, while its influence on OCB is insignificant. Also, LMX significantly affects PE and OCB, PE significantly impacts OCB, whereas PE and LMX significantly mediate the relationship between OJ and OCB.

Organizations should promote fairness, psychological empowerment and OCB among employees. Additionally, leaders should develop positive and productive relationships with their employees.

To the best of the authors’ knowledge, this study is one of a limited number of studies designed to analyze the hypothesized relationships within a non-Western context, specifically in the UAE.

This study aims to ascertain consumption values of Muslim tourists, attitudes, satisfaction and loyalty towards a Muslim-friendly accommodation, which has gained recognition from the Malaysian Government. Subsequently, an overall Muslim-friendly image was examined as a moderating variable within the associated relationship.

A quantitative research design with a purposive sampling technique was chosen through a sample size of 378 people in Malaysia and distributed via social media. The respondents were selected based on the Muslim-friendly accommodation recognition (MFAR) initiatives, a procedure of accreditation which acknowledges Muslim-friendly accommodation for tourists. To obtain data from those travellers, structured questionnaires were used. SmartPLS was used for data analysis in this study.

The values which were found to have an influence on attitude towards a Muslim-friendly accommodation are related to social, emotional, economic, functional, monetary and epistemic elements. On the other hand, hedonic, conditional, Islamic and altruistic values were found to be insignificant in determining the attitude towards a Muslim-friendly accommodation. Subsequently, an overall Muslim-friendly image was found to moderate the relationship between social, monetary and altruistic values and its link concerning attitude towards the accommodation, while the rest of the relationships were not significant. More importantly, attitude seems to have an impact on satisfaction, as well as its loyalty towards a Muslim-friendly accommodation.

Firstly, it begins with understanding Malaysia, one of the developing countries in Southeast Asia. Secondly, data was collected from participants using a survey method, from purposive sampling which may limit the findings’ generalizability. Thirdly, this study focussed exclusively on the perceived value dimensions associated with Muslim-friendly accommodation, thus, disregarding consumers who may associate with other types of tourism and hospitality elements.

The results provide a fresh insight and a better understanding regarding the consumption values and all of its related components towards customer loyalty of the Muslim-friendly accommodation in Malaysia. In addition, the findings deliver new information and a deeper understanding of relevant values in Malaysia’s Muslim-friendly accommodation, which can be used as a standard guideline by industry practitioners, local and abroad.

This research supports service providers in developing effective brand management strategies for their own businesses. Apparently, this study discovers that emotional values tend to be the most important values in determining attitude towards Muslim-friendly accommodation.

To the best of the authors’ knowledge, this is one of the studies examining the overall perceived Muslim-friendly image within the consumption values that are relevant from an Islamic viewpoint. It provides policymakers, as well as the industry players, some reliable approaches for enhancing Muslim-friendly accommodation.

Drawing on COR theory and based on a person-centered approach, this study aims to explore profiles of both leadership behavior (transformational leadership, abusive supervision) and well-being indicators (cognitive irritation, emotional exhaustion). Additionally, we consider whether certain resource-draining (work intensification) and resource-creating factors (leader autonomy, psychological contract fulfillment) from the leaders' work context are related to profile membership.

The profiles are built using LPA on data from 153 leaders and their 1,077 followers. The relationship between profile membership and correlates from the leaders' work context is examined using multinomial logistic regression analyses.

LPA results in an interpretable four-profile solution with the profiles named (1) Good health – constructive leading, (2) Average health – inconsistent leading, (3) Impaired health – constructive leading and (4) Impaired health – destructive leading. The two groups with the highest sample share – Profiles 1 and 3 – both show highly constructive leadership behavior but differ significantly in their well-being indicators. The regression analyses show that work intensification and psychological contract fulfillment are significantly related to profile membership.

The person-centered approach provides a more nuanced view of the leadership behavior – leader well-being relationship, which can address inconsistencies in previous research. In terms of practical relevance, the person-centered approach allows for the identification of risk groups among leaders for whom organizations can provide additional resources and health-promoting interventions.

This study examines the importance of exchange rate and credit growth fluctuations when designing monetary policy in Thailand. To this end, the authors construct a small open economy New Keynesian dynamic stochastic general equilibrium (DSGE) model. The model encompasses several essential characteristics, including incomplete financial markets, incomplete exchange rate pass-through, deviations from the law of one price and a banking sector. The authors consider generalized Taylor rules, in which policymakers adjust policy rates in response to output, inflation, credit growth and exchange rate fluctuations. The marginal likelihoods are then employed to investigate whether the central bank responds to fluctuations in the exchange rate and credit growth.

This study constructs a small open economy DSGE model and then estimates the model using Bayesian methods.

The authors demonstrate that the monetary authority does target exchange rates, whereas there is no evidence in favor of incorporating credit growth into the policy rules. These findings survive various robustness checks. Furthermore, the authors demonstrate that domestic shocks contribute significantly to domestic business cycles. Although the terms of trade shock plays a minor role in business cycles, it explains the most significant proportion of exchange rate fluctuations, followed by the country risk premium shock.

This study is the first attempt at exploring the relevance of exchange rate and credit growth fluctuations when designing monetary policy in Thailand.

Credit risk evaluation is a crucial task for banks and non-bank financial institutions to support decision-making on granting loans. Most of the current credit risk methods rely solely on expert knowledge or large amounts of data, which causes some problems like variable interactions hard to be identified, models lack interpretability, etc. To address these issues, the authors propose a new approach.

First, the authors improve interpretive structural model (ISM) to better capture and utilize expert knowledge, then combine expert knowledge with big data and the proposed fuzzy interpretive structural model (FISM) and K2 are used for expert knowledge acquisition and big data learning, respectively. The Bayesian network (BN) obtained is used for forward inference and backward inference. Data from Lending Club demonstrates the effectiveness of the proposed model.

Compared with the mainstream risk evaluation methods, the authors’ approach not only has higher accuracy and better presents the interaction between risk variables but also provide decision-makers with the best possible interventions in advance to avoid defaults in the financial field. The credit risk assessment framework based on the proposed method can serve as an effective tool for relevant policymakers.

The authors propose a novel credit risk evaluation approach, namely FISM-K2. It is a decision support method that can improve the ability of decision makers to predict risks and intervene in advance. As an attempt to combine expert knowledge and big data, the authors’ work enriches the research on financial risk.

This study provides empirical evidence on the impact of the Panama Canal expansion (PCE) on the economies of Latin American and Caribbean (LAC) countries, particularly in light of the emergence of larger container ships such as neo-Panamax and post-Panamax vessels.

This study uses the Bayesian structural time Series (BSTS) model to evaluate the economic effects of the PCE on 21 countries within the LAC region. It utilized the World Bank's gross domestic product (GDP) figures between 2000 and 2019 as the primary variable, alongside the human development index (HDI) (X1), container throughput (TEU) (X2) and unemployment rates (UNEMPL) (X3) covariates. This allowed a precise and robust approach to analyzing time series data while accounting for uncertainties and allowing the inclusion of various components and external factors.

The findings revealed that the PCE has a positive and statistically significant impact on most countries within the Caribbean Transshipment Triangle, ranging from 9.2% in Belize to 46% in Cuba. This suggests that the causal effect of the PCE on regional economies was not confined to any specific type of economy or geographical location within the LAC region. Where the growth rates were statistically insignificant, primarily in some Latin American countries, it coincided with countries that are primarily driven by exports and service industries, where bulk and oil tanker vessels are likely to be the main carriers for exports rather than container vessels.

The practical implications of this research are crucial for various stakeholders in the maritime industry and economic planning. The factors influencing economic growth resulting from investing in maritime activities are vital for decision-makers to create policies that lead to positive outcomes and sustainable development in regions and countries with flourishing maritime industries. The methodology and findings have significant implications for governments, managers, professionals, policy-makers and investors.