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The objective of this study is to investigate how country risk, different political actions from the government and bureaucratic behavior influence the activities in industry supply chains (SCs) in emerging markets. The main objective of this study is to investigate the influence of these external stakeholders’ elements to the demand-side and supply-side drivers and barriers for improving competitiveness of Ready-Made Garment (RMG) industry in the way of analyzing supply chain. Considering the phenomenon of recent change in the RMG business environment and the competitiveness issues this study uses the principles of stakeholder and resource dependence theory and aims to find out some factors which influence to make an efficient supply chain for improving competitiveness. The RMG industry of Bangladesh is the case application of this study. Following a positivist paradigm, this study adopts a two phase sequential mixed-method research design consisting of qualitative and quantitative approaches. A tentative research model is developed first based on extensive literature review. Qualitative field study is then carried out to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. A survey is carried out with sample of top and middle level executives of different garment companies of Dhaka city in Bangladesh and the collected quantitative data are analyzed by partial least square-based structural equation modeling. The findings support eight hypotheses. From the analysis the external stakeholders’ elements like bureaucratic behavior and country risk have significant influence to the barriers. From the internal stakeholders’ point of view the manufacturers’ and buyers’ drivers have significant influence on the competitiveness. Therefore, stakeholders need to take proper action to reduce the barriers and increase the drivers, as the drivers have positive influence to improve competitiveness.

This study has both theoretical and practical contributions. This study represents an important contribution to the theory by integrating two theoretical perceptions to identify factors of the RMG industry’s SC that affect the competitiveness of the RMG industry. This research study contributes to the understanding of both external and internal stakeholders of national and international perspectives in the RMG (textile and clothing) business. It combines the insights of stakeholder and resource dependence theories along with the concept of the SC in improving effectiveness. In a practical sense, this study certainly contributes to the Bangladeshi RMG industry. In accordance with the desire of the RMG manufacturers, the research has shown that some influential constructs of the RMG industry’s SC affect the competitiveness of the RMG industry. The outcome of the study is useful for various stakeholders of the Bangladeshi RMG industry sector ranging from the government to various private organizations. The applications of this study are extendable through further adaptation in other industries and various geographic contexts.

The purpose of this paper is to analyze and compare the influence of the Sarbanes–Oxley (SOX) Act of the USA and the Canadian SOX (C-SOX) through the comparison of corporate acquisitions in these two countries.

The final sample includes 1,187 merger and tender offers undertaken by publicly traded (TSX listed) Canadian firms between 1990 and 2016. The authors use standard event study methodology (Patell, 1976) and Berkovitch and Narayanan’s (1993) seminal method to examine announcement period performance and deal motive, respectively.

The findings support the pro-regulation hypothesis which states that stricter regulations are more useful. Cross-listed acquirers exposed to SOX regime performed much better (both short- and long-term) than non-cross-listed counterparts with only C-SOX exposure. These findings are both statistically and economically significant.

This study has direct implications as it provides evidence to the legislatures of the provinces, as well as to the federal government, that stricter regulations are effective and Canada should enact additional corporate legislation. Canada may have fared well in the past, but dynamics are changing and may further change in the future, and therefore, timely and stricter corporate legislation are more appropriate.

This study has direct implications as it provides evidence to the legislatures of the provinces, as well as to the federal government, that stricter regulations are effective and Canada should enact additional corporate legislation. Canada may have fared well in the past, but dynamics are changing and may further change in the future, and therefore, timely and stricter corporate legislation are more appropriate.

This study contributes to the growing literature of SOX-related studies. This is the first study to investigate comprehensively the differences between the two laws enacted by these neighboring countries. As USA and Canada share largely integrated capital markets and are each other’s biggest trading partner, this genre of research has great value. It is a timely study as the Canadian Federal Government is looking into standardizing corporate legislation across provinces and territories.

The goal of the current research is to use different machine learning (ML) approaches to examine and predict customer reviews of food delivery apps (FDAs).

Using Google Play Scraper, data from five food delivery service providers were collected from the Google Play store. Following cleaning the reviews, the filtered texts were classified as having negative, positive, or neutral sentiments, which were then scored using two unsupervised sentiment algorithms (AFINN and Valence Aware Dictionary for sentiment Reasoning (VADER)). Furthermore, the authors employed four ML approaches to categorize each review of FDAs into the respective sentiment class.

According to the study's findings, the majority of customer reviews of FDAs were positive. This research also revealed that, while all of the methods (decision tree, linear support vector machine, random forest classifier and logistic regression) can appropriately classify the reviews into a sentiment category, support vector machines (SVM) beats the others in terms of model accuracy. The authors' study also showed that logistic regression provided the highest recall, F1 score and lowest Root Mean Square Error (RMSE) among the four ML models.

The findings aid FDAs in determining customer review behavior. The study's findings could help food apps developers better understand how customers feel about the developers' products and services. The food apps developer can learn how to use ML techniques to better understand the users' behavior.

The current study uses ML methodologies to investigate and predict consumer attitude regarding FDAs.

A successful education system is a great asset for any society. However, what factors make an academic institution successful and how these factors interact with each other are not clear in literature. Therefore, the purpose of this paper is to develop and validate a model that explains success of private universities which entails clarification on theoretical understanding and explains the relationships among relevant variables.

Variables from information systems success models and marketing theories have been adapted in the context of private universities to theorize a conceptual model. In order to validate the model, this study employed quantitative approach. Survey data, collected from 326 respondents, were analysed using partial least squares algorithm.

The results suggest that: “curriculum quality”, “teaching competence”, “service facility”, and “service delivery” provided by a private university are positively related to “perceived value (PV)”, while students’ perceived satisfaction (SPS) is dependent on “service facility”; PV and SPS drive to students’ “intention for continued education (ICE)”, and ICE eventually improves quality of students’ lives. Additionally, PV and SPS are interrelated. The mediating roles of PV and SPS are also identified.

Empirical data analyses confirm that improving quality of life through continued education represents an insightful theoretical lens for investigating success in higher education. To become successful in education business, maintaining both academic quality and service quality are important for a private university because they lead to student satisfaction and the overall PV of education.

This study is the first initiative that develops and validates a success model of private universities. The findings provide some guidelines for top managers in higher education to maximize their abilities to understand customers’ expectations in both strategic and operational settings.

This study aims to answer the following research question: What are the opportunities for future research concerning the Frugal Innovation (FI) phenomenon? To address this, the authors propose a novel approach to literature review on the topic. They do so in view of synthesising scholars’ recommendations for subsequent studies. They also advocate that it is time to contribute to the establishment of the FI field by mapping the future of this approach.

The authors conducted a systematic literature review (SLR) to connect past and future research on FI. After the screening process of the documents extracted from multiple databases, they performed a bibliometric analysis to provide an overview of the field. Furthermore, the lexical analysis and descending hierarchical analysis were generated through the IRAMUTEQ software to identify the clusters for future research on FI.

This research not only demonstrates the current state of the art of FI literature but also identifies a research agenda with six categories of opportunities for further studies on the topic: frugal consumer behaviour; establishment of the field; sustainable impact; approaches to different contexts; implementation processes; and challenges for value creation.

The FI phenomenon is receiving increasing attention from scholars in the management field due to its socioeconomic and managerial implications, especially after the Covid-19 outbreak. Therefore, the findings benefit scholars striving to expand the scope of FI research, as well as entrepreneurs, managers and organisations aiming to enhance their social responsibility to reduce their environmental impact.

Big data is one of the most demanding topics in contemporary marketing research. Despite its importance, the big data-based strategic orientation in international marketing is yet to be formed conceptually. Thus, the purpose of this study is to systematically review and propose a holistic framework on big data-based strategic orientation for firms in international markets to attain a sustained firm performance.

The study employed a systematic literature review to synthesize research rigorously. Initially, 2,242 articles were identified from the selective databases, and 45 papers were finally reported as most relevant to propose an integrative conceptual framework.

The findings of the systematic literature review revealed data-evolving, and data-driven strategic orientations are essential for performing international marketing activities that contain three primary orientations such as (1) international digital platform orientation, (2) international market orientation and (3) international innovation and entrepreneurial orientation. Eleven distinct sub-dimensions reflect these three primary orientations. These strategic orientations of international firms may lead to advanced analytics orientation to attain sustained firm performance by generating and capturing value from the marketplace.

The study minimizes the literature gap by forming knowledge on big data-based strategic orientation and framing a multidimensional framework for guiding managers in the context of strategic orientation for international business and international marketing activities. The current study was conducted by following only a systematic literature review exclusively in firms' overall big data-based strategic orientation concept in international marketing. Future research may extend the domain by introducing firms' category wise systematic literature review.

The study has proposed a holistic conceptual framework for big data-driven strategic orientation in international marketing literature through a systematic review for the first time. It has also illuminated a future research agenda that raises questions for the scholars to develop or extend theory in this area or other related disciplines.

Mobile health, i.e. m-Health possesses huge potential, especially to the developing countries and remote locations of developed countries. The success of such systems may create a healthier society through eradicating health incidents, which cannot otherwise be addressed with “brick and mortar” type of health systems. The purpose of this paper is to develop an m-Health success model from users’ perspective and validate in a developing country context.

Epistemologically, positivist approach has been adopted for the current research. An initial research model was developed from existing information system (IS) literature, which was then validated with survey data applying partial least square structural equation modelling (PLS-SEM).

The results summarise that continuance intention (CI) of m-Health services is dependent on perceived value (PV) and user satisfaction (STF); PV positively influences STF. Moreover, platform quality, quality of medical advice, and interaction quality have positive and direct effect on PV and STF; finally, CI drives to better quality of health life.

The findings of this study provide strategic implications to health managers and practitioners recognising the determinants of m-Health success and comprehending their relationships. It is underscored that, in order to secure the success of an m-Health system in a given society both human and technology-related components are vital and therefore should be taken care of.

This is the first attempt that develops and validates an m-Health system success model, particularly from the context of a country with low-health profile. Moreover, the contextualisation of the related variables and extension of existing IS success models is theoretically original.

The purpose of this study is to investigate the role of millennial tourists’ accommodation service experiences (ASEs) on their satisfaction, word-of-mouth (WOM) and revisit intentions (RIs) in an emerging economy.

A survey instrument was used to collect cross-sectional data from millennial tourists, and the 282 valid datasets were analyzed using structural equation modeling.

The results demonstrated that ASE had a beneficial impact on satisfaction and WOM but not on RI. Significant positive associations between tourist satisfaction, WOM and RI were also discovered. Additionally, WOM research sheds new light on how the ASE of millennial tourists affects their satisfaction, WOM and propensity to return. Furthermore, results show that WOM intentions and satisfaction mediate the relationship between ASE and RIs.

The study presents a unique research context, the application of advanced statistical techniques and the comprehensive investigation of key outcome variables in the context of millennial tourists’ ASEs in an emerging economy. This study contributes significantly to the body of knowledge in the field of tourism research, aiming to meet long-term goals in a sustainable way for the hospitality industry operators by integrating ASE, satisfaction, WOM and RI. Additionally, the study presents the mediating role of WOM and satisfaction in the millennial tourists’ emerging country context.

Small and medium-sized enterprises (SMEs) are currently showing an increasingly open innovation (OI) approach. Public policies supporting the adoption of OI by SMEs are becoming a priority for policymakers. Therefore, the aim of this article is to contribute to the literature by mapping scholars' policy recommendations for implementing OI among SMEs.

The authors conducted a systematic review of the literature (SRL) on the topic to achieve this purpose. A total of 99 academic articles were selected from the Web of Science and Scopus databases to suggest the main scholars' policy recommendations to implement OI among SMEs.

Results indicated that scholars' policy recommendations for OI adoption in SMEs can be organized into: research and development (R&D), networking, collaboration, knowledge and intellectual property rights (IPR), ecosystem, managerial capabilities, funding and incentives and sustainability policies.

Only relevant articles about this topic have been included due to the reliance on the interpretations of the authors. The analysis of the literature revealed that the authors did not always distinguish policies dedicated to SMEs and those dedicated to large companies. Moreover, policies are not matched according to each OI dimensions (e.g. inbound, outbound and coupled OI).

The article uses a systematic literature review method that combines qualitative and quantitative analyses. This method contributes to theoretical development of OI policies dedicated, in particular to SMEs. This paper also provides policymakers and researchers with insights on the scope of OI policies that could support economic growth.

The new audit regulation for disclosure of key audit matters (KAMs) in financial reporting has been introduced in both developed and developing countries. This study investigates the influence of three distinctive sets of variables, namely industry features, firm characteristics and auditor attributes, on the extent, pattern and level of disclosure of KAMs by companies listed in Bangladesh, an emerging economy.

The study uses qualitative and quantitative research approaches to investigate the pattern of disclosure of KAMs and their determinants. With a sample of 447 firm-year observations from companies listed on the Dhaka Stock Exchange over 2018–2020, the study reveals industry-level, firm-level and auditor-specific characteristics that affect KAMs' communication in the new audit reporting model.

The findings suggest that significant differences exist between firms in the number and types of KAMs reported and the extent of their disclosure. The study findings also observed variations both within and across different industry sectors. Highly regulated firms disclose a greater number of KAMs, while environmentally sensitive firms are found to provide a greater detail of the issues presented as KAMs. Further, both firm size and age positively impact the number of KAMs disclosed and the extent of the disclosure provided. Big-4-affiliated auditors do not issue a significantly higher number of KAMs but deliver extensive details to their KAMs description, compared to non-Big-4 auditors. In addition, while auditors, in general, tend to issue boilerplate KAMs, Big-4 associates are found to disclose more new KAMs. However, audit fees and auditor rotation do not influence KAMs disclosure.

This study is based on two years of publicly available data. However, future studies could consider in-depth interviews to explore the motivation behind KAMs' disclosure in Bangladesh and other developing countries with similar cultural and contextual values.

These findings have substantial policy considerations for improving firms' audit quality and, thus, their financial reporting quality, with implications for national and international standard-setters, regulators and other stakeholders.

This study is one of the earliest endeavours to investigate KAMs in a context of an emerging country, such as Bangladesh, which adopted KAMs' disclosure in 2018.