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The main goal of this study is to employ unsupervised (lexicon-based) learning approaches to identify readers' emotional dimensions and thumbs-up empathy reactions to reviews of online travel agency apps based on appraisal and stimulus–organism–response (SOR) theories.

Using the Google Play Scraper, we gathered a total of 402,431 reviews from the Google Play Store for two travel agency apps, Tripadvisor and Booking.com. Following the filtering and cleaning of user reviews, we used lexicon-based unsupervised machine learning algorithms to investigate the associations between various emotional dimensions of reviews and review readers' thumbs-up reactions.

The study's findings reveal that the sentiment of different sorts of reviews has a substantial influence on review readers' emotional experiences, causing them to give the app a thumbs up review. Furthermore, readers' thumbs-up responses to the text reviews differed depending on the eight emotional aspects of the reviews.

The results of this research can be applied in the development of online travel agency apps. The findings suggest that app developers can enhance users' emotional experiences by considering the sentiment and emotional aspects of reviews in their design and implementation. Additionally, the results can be used by travel agencies to improve their online reputation and attract more customers by providing a positive user experience.

The findings of this research have the potential to have a significant impact on society by providing insights into the emotional experiences of users when they engage with online travel agency apps. The study highlights the importance of considering the emotional aspect of user reviews, which can help app developers to create more user-friendly and empathetic products.

The current study is the first to evaluate the impact of users' thumbs-up empathetic reactions on user evaluations of online travel agency applications using unsupervised (lexicon-based) learning methodologies.

The purpose of this paper is to examine whether or not the seminal legislation called the Sarbanes-Oxley Act (SOX) influenced a strategic shift in the merger and acquisition (M&A) market.

The sample consists of 4,839 completed deals undertaken by US acquirers from the Securities Data Corporation’s US M&As database from January 1, 1996 to December 31, 2009. The authors used the standard event study methodology for short-term performance analysis and the Berkovitch and Narayanan (1993) method to identify merger motives.

By following the same acquirers who participated during both pre- and post-SOX periods, the authors find that these acquirers generate 1-1.5 percent more returns for their stockholders around M&A announcement dates and that the motivation has shifted to value maximization (synergy), a notable strategic shift.

All acquirers and targets are public.

This paper adds to SOX-related literature as well as to M&A literature. By analyzing M&A deals, often the largest capital investments for acquirers, this paper shows that, despite criticism of SOX, this legislation fundamentally contributed to a strategic shift in the M&A market.

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.

This study examines the relationship between board composition and firm value, and the extent to which this relationship may be affected by a company’s investment opportunity set. There is little research that examines this issue, particularly for the New Zealand market. Of the research that exists, and generally for the research that examines how board composition affects firm performance, the findings have been mixed. Using a randomly chosen sample, which improves the external validity of results from prior studies, we find that board composition of high growth option firms is positively related to firm value, and this relationship is maintained when more refined measures that proxy the characteristics of outside directors (such as tenure of outside directors, the level of outside director equity ownership, the number of other board positions held by outside directors, and the total proportion of non‐executive directors, including grey directors) are recognised.

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.

The aim of this study is to examine the effects of innovativeness (INN), proactiveness, (PRC) and risk-taking (RIT) on the export performance of apparel small and medium-sized enterprises (SMEs) and the role of differentiation and low-cost leadership (LCL) strategies as mediating effects between entrepreneurial orientation (EO) dimensions and the performance of exporting firms. INN, RIT and PRC are considered EO dimensions.

A cross-sectional survey was carried out by providing a questionnaire to the owners, directors and senior managers of the apparel SMEs – the primary data of 550 treated by structural equation modeling (SEM) technique for final data analysis.

The study has revealed the positive dimensional effect of EO on export performance. For the mediation effects of differentiation and LCL, differentiation strategy (DS) positively mediates between INN, PRC and export performance. However, no mediation has been found between RIT and export performance. On the other hand, LCL has found positive effects between INN, RIT and export performance. However, the mediation effect was absent between PRC and export performance.

Limitations/implications- This study has been conducted on only Muslim owners, senior export managers and directors of apparel SMEs in Bangladesh. It has examined the two main competitive strategies as a mediator between EO dimensions and export performance. The findings of this study are based on one country data analysis.

EO, differentiation and low-cost leadership (LCL) strategy are resources and capabilities of an organization to create a competitive advantage to enhance performance. The factors of this research are helpful for SME practitioners.

The direct and indirect effects (differentiation and LCL strategy) of EO dimensions on export performance in an emerging country, i.e. the South-Asia region, is a pioneer study. Therefore, current research has theoretical and managerial implications for the international business and strategic management literature.

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.

The purpose of this article is to explore the impression management practices in Covid-19 related discourses in the annual reports of the insurance companies in Bangladesh.

To fulfil this objective, the authors have conducted a discourse analysis of the Covid-19 related corporate narratives in the latest annual reports of listed insurance companies. The findings are then interpreted through the lens of impression management theory, following the impression management strategies identified by Caliskan et al. (2021).

It is found that companies tried to manage the impression of the stakeholders through the strategic use of language. There is evidence that the companies used assertive and performance-oriented tactics to impress their stakeholders. In few cases, defensive strategies were applied.

This study will facilitate improving the understanding of corporate communication during the Covid-19 crisis. Policymakers will be able to understand the current status of Covid-19 related disclosures and consider the necessity to provide guidance that may lead to better accountability during the crisis.

This study will contribute to the limited literature on Covid-19 related disclosure from the context of developing economies. This research is methodologically novel as it applies discourse analysis and interprets the findings through the lens of impression management.

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.

The purpose of this study is to explore the gender-related discourses in the annual reports of the listed companies in Bangladesh.

To fulfill this objective, a sociological discourse analysis (SDA) of the gender-related texts in the annual reports of Bangladeshi companies (listed in the Dhaka Stock Exchange) was conducted. Sandberg and Holmlund’s (2015) organizational impression management tactics (description, praise, admission, defense and writing styles) was applied as the analytical framework of SDA. The findings of the study were interpreted from a triangulation of two different theories: legitimacy theory and impression management theory.

The study suggests that the companies in Bangladesh are disclosing gender-related information to a limited extent. They provide some information in relation to equal opportunities, business activities targeted to women and corporate contribution to women’s welfare. Most of these gender-related discourses are rhetorical in nature. The companies used various impression management tactics such as description, praise, positive writing style, vague writing style and emotional writing style.

This study is exploratory in nature and focuses on cross-sectional data. Thus, it does not identify the trend of corporate gender reporting over the years.

At the policy level, the findings revealed a need for reporting guidelines for gender narratives. Although there is a global gender reporting guideline as proposed under global reporting initiative, there is no local guideline in Bangladesh. Our findings suggest that in the absence of proper directives, companies presented facts and figures rhetorically and qualitatively.

Our findings provide valuable insights for the companies in assisting the Government of Bangladesh to deal with the prevailing gender inequality and achieved gender-related sustainable development goals. It is argued that the government should take more interest in corporate social responsibility activities (such as promoting gender equality) and introduce legislation and guidelines for social accounting.

This is one of the very few studies that illustrate the corporate gender reporting of a developing economy – Bangladesh. To make a unique contribution to corporate gender disclosure, the study has drawn its analysis from a triangulation of the impression management and the legitimacy perspectives. Also, the use of SDA for annual report analysis has informed the readers about “how” the corporate narratives are presented in the annual reports rather than “what” issues are disclosed as commonly done in content analysis.