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The purpose of this paper is to expose the playout of power dynamics when a new business intelligence (BI) system is implemented in a central pharmacy department in a National Health Service (NHS) hospital. The authors aim to explore the assumptions, experiences and actions of organisational stakeholders and ascertain how different professional groups obtain influence, power and control during this process.

In this research the authors employ structuration theory (ST), to establish how and where domination is achieved. To achieve this, the authors investigate the production and reproduction of structure as part of a longitudinal assessment using interviews and questionnaires.

Constant renewal and evolution are crucial in the implementation of a BI system. During the process of implementation and change many stakeholders resent the change. Disempowering these users leads to new power structures led by BI analysts.

The findings from this paper can help strengthen implications of BI systems implementation and better understand the impact these systems have on wider stakeholders. With coherent communication and an engaged attitude new BI systems can be implemented without alienating the key user stakeholders.

This paper differs from other papers by advocating that new systems and processes alter individual power structures in organisations, disrupting internal dynamics and introducing new aspects of control and dominance.

The purpose of this paper is to provide a historical analysis of the disaster management structure, policies and institutions in Pakistan between 1947 and 2005, and highlights the contemporary challenges in view of the learning from the past.

The paper uses a historic-integrative case study approach to disaster management and risk reduction policy, planning and practice. Qualitative data were collected through purposive sampling and a case study design was adopted. A broad range of actors was recruited as research participants. In total, 22 semi-structured in-depth interviews were conducted in relation to this study in six different districts of Pakistan to achieve insight into the role of different institutions and stakeholders.

Overall, the post-colonial flood-centric policy framework and fragmented responsibilities of different disaster management institutions show the lack of an effective institutional structure for disaster management and mitigation in Pakistan, particularly at the local level. Until the event of the 2005 earthquake, policies heavily relied on attaining immediate and short-term goals of response and relief while ignoring the long-term objectives of strategic planning for prevention and preparedness as well as capacity building and empowerment of local institutions and communities.

The analysis explains, in part, why disaster planning and management needs to be given due attention in the developing countries at different policy scales (from local to national) especially in the face of limited resources, and what measures should be taken to improve effectiveness at different phases of the disaster management cycle.

The paper advances the importance of a historical case study approach to disaster management and mitigation. The empirical work provides original research evidence about the approaches to dealing with disasters in Pakistan and thus enriches existing knowledge of disaster management policy and planning about the country.

This paper aims to examine the impact of environmental, social and governance (ESG) disclosure and firm value (FV), as well as, pinpoints the role of the audit quality (AQ) as a moderating variable on such impact; where the authors hypothesize that AQ modulates the relationship between ESG disclosure and the FV.

Data of a sample of firms listed on the Egyptian Stock Exchange Market (EGX) were collected over the period of 2017–2021 and analyzed using the regression and 2SLS models.

The results suggested that: (1) the ESG has a significant positive impact on the FV in the EGX, and (2) AQ has a significant impact, as a moderating variable, on the relationship between ESG disclosure and FV.

The findings would help the Egyptian market authorities in realizing the importance of integrating ESG information within the financial reports of the listed firms. The findings could also help in developing effective disclosure procedures to provide shareholders with useful information.

This paper contributes to the literature regarding the ESG disclosure components and the FV value by considering AQ in testing such relationship.

Despite its devastating nature, the COVID-19 pandemic has also catalyzed a substantial surge in the adoption and integration of technological tools within economies, exerting a profound influence on the dissemination of information among participants in stock markets. Consequently, this present study delves into the ramifications of post-pandemic dynamics on stock market behavior. It also examines the relationship between investors' sentiments, underlying behavioral drivers and their collective impact on global stock markets.

Drawing upon data spanning from 2012 to 2023 and encompassing major world indices classified by Morgan Stanley Capital International’s (MSCI) market and regional taxonomy, this study employs a threshold regression model. This model effectively distinguishes the thresholds within these influential factors. To evaluate the statistical significance of variances across these thresholds, a Wald coefficient analysis was applied.

The empirical results highlighted the substantive role that investors' sentiments and behavioral determinants play in shaping the predictability of returns on a global scale. However, their influence on developed economies and the continents of America appears comparatively lower compared with the Asia–Pacific markets. Similarly, the regions characterized by a more pronounced influence of behavioral factors seem to reduce their reliance on these factors in the post-pandemic landscape and vice versa. Interestingly, the post COVID-19 technological advancements also appear to exert a lesser impact on developed nations.

This study pioneers the investigation of these contextual dissimilarities, thereby charting new avenues for subsequent research studies. These insights shed valuable light on the contextualized nexus between technology, societal dynamics, behavioral biases and their collective impact on stock markets. Furthermore, the study's revelations offer a unique vantage point for addressing market inefficiencies by pinpointing the pivotal factors driving such behavioral patterns.

This study aims to investigate the role of moderated mediation between innovation in service quality and customer loyalty in the hospitality industry for potential entrepreneurs in the hospitality industry.

The authors have collected data from customers of the hospitality industry of significant cities of Pakistan using 362 structured questionnaires. Structural equation modelling was used to find out moderated mediation between innovation in service quality and customer loyalty in the hospitality industry for potential entrepreneurs in the hospitality industry.

The results showed that the role of customer satisfaction as a mediator and the role of perceived price fairness as a moderator between service quality and customer loyalty is statistically significant. Customers are influenced by price, and it leads to their satisfaction in the hospitality industry.

The results of this study can be used by managers of the restaurant industry to enhance customer loyalty by focusing on customer satisfaction and perceived price.

The evidence documented in this paper is first known to measure the role of a mediator and moderator between service quality and customer loyalty for potential entrepreneurs. This paper will add to the literature of service quality in the hospitality industry concerning the role of customer satisfaction and perceived price fairness for future and potential entrepreneurs.

This study attempts to recognize the effects of the Pakistan–China free trade agreements (PCFTA) on promoting trade between the two economies.

Following the concept of revealed comparative advantage (RCA) and free trade agreements, the study first identifies those commodities in which Pakistan and China have a robust RCA and then analyze the effect of PCFTA on the export value of those commodities for the bilateral trade between Pakistan and China. The study used the panel data in which more than the top 150 importers (j) have been selected for each case of Pakistan and China for the period of 2003–2015.

The study concludes that even with the higher convergence rate, the good RCA does not guarantee a positive effect of the free trade agreement on the commodities.

The study contributes to the existing literature by integrating RCA with the gravity model by adopting a sequential mode for Pakistan–China free trade agreement.

The pandemic's health and social issues have significantly altered the character and manner of teaching and learning in higher education across the country. The use of technology to replace or integrate face-to-face learning with online learning has become a necessary requirement for promoting and continuing learning processes. Furthermore, integrating technology is a goal of Sustainable Development Goal 4 (SDG 4) to make teaching and learning more innovative and sophisticated. This paper is based on a systematic review grounded in a synthesis of research papers and documents analyzing the current status of teachers' pedagogy through online learning modes in the context of Pakistan.

Through content analyses of academic studies in higher education and reflection on the online teaching experiences, this study discusses how students' learning is associated with teachers' teaching approaches in the modern era of digitalization and innovation.

The review and analysis suggest that online teaching is not viewed as an innovative phenomenon; rather, teachers simply teach their traditionally designed face-to-face courses through the use of technology. The paper suggests that transforming teachers' pedagogical insight to make online learning sustainable is an urgent need for higher education.

The analysis provides a basis for consideration of teacher learning and quality education (SDG #4) to fulfill the nation’s agenda for sustainable development. The analysis helps educators and administrators in higher education institutions reflect on their policies and practices that have short- and long-term effects on students' learning outcomes.

In this study, researchers applied blended learning program to investigate the success of a blended learning program on satisfaction of the psychological needs, and academic achievement of chemistry students of O-Levels, following curriculum prescribed by University of Cambridge.

Research pattern is quantitative aligned with the quasi-experimental and pre-post experimental design which aimed at examining the efficiency of a motivational strategies adopted with the use of blended learning program on psychological needs satisfaction (competence, autonomy, and relatedness) and achievement in chemistry O-Levels Syllabus, at the end of the research program.

Hypothesis testing represented that use of blended learning program has significant and positive impact on academic achievements through the mediation of autonomy. Results also revealed the substantial association of blended learning on other psychological needs (i.e., competence and relatedness); however, the competence and relatedness have no effect on academic achievements in this study. Thus, research concludes that providing an autonomous environment in substitution of the controlled environment promotes learning and produces positive outcomes.

Blended learning or use of Learning Management Systems is being commonly used mostly in the tertiary level of studies; however, blended learning with secondary classes especially in the field of chemistry is yet not studied in detail. Similarly, the usefulness of the motivational strategies to learn chemistry is observed with university-level students, but very rare data about encouraging students at the secondary level have been gathered. Therefore, the researcher designed this blended learning program to enhance students’ motivation towards achievements in secondary chemistry.

Health fitness has become a major issue in Malaysia since the population of overweight and obesity is becoming critical. One of the ways to achieve optimum health fitness is by consistently consuming balanced diet meals. Hence, this paper aims to focus on the willingness of society to purchase functional foods as an alternative for their daily meals to stay fit.

The research framework was developed based on a combination of findings by other research scholars within a similar field. The willingness to purchase functional foods to stay fit is positioned as the dependent variable, while lifestyle adaptation, social media influence and food consumption awareness are placed as the independent variables. Quantitative research was conducted by collecting primary data from respondents in Kuala Lumpur, Malaysia. The collected data were analysed using descriptive and regression analyses.

The willingness to purchase functional foods to stay fit is dependent on the lifestyle adaptation, social media influence and food consumption awareness.

Although the current market for functional foods in Malaysia is still at a small scale, the market for this industry seems very promising. Nevertheless, greater awareness on functional food is still needed.

Functional food producers should make an effort to gain the untapped market by focussing on the lifestyle adaptation, social media influence and food consumption awareness.

This research is a breakthrough to discover the willingness of Malaysians to purchase functional food to stay fit, which is influenced by lifestyle adaptation, social media and food consumption awareness.

This study aims to examine the impacts of climate change (CC), measured average annual rainfall, average annual temperature and carbon dioxide (CO₂e) on cereal production (CPD) in Bangladesh by using the annual dataset from 1988–2014, with the incorporation of cereal cropped area (CCA), financial development (FD), energy consumption (EC) and rural labor force as important determinants of CPD.

This study used an auto-regressive distributive lag (ARDL) model and several econometric approaches to validate the long- and short-term cointegration and the causality directions, respectively, of the scrutinized variables.

Results of the bounds testing approach confirmed the stable long-term connections among the underlying variables. The estimates of the ARDL model indicated that rainfall improves CPD in the short-and long-term. However, CO₂e has a significantly negative impact on CPD both in the short-and long-term. Results further showed that temperature has an adverse effect on CPD in the short-term. Among other determinants, CCA, FD and EC have significantly positive impacts on CPD in both cases. The outcomes of Granger causality indicated that a significant two-way causal association is running from all variables to CPD except temperature and rainfall. The connection between CPD and temperature is unidirectional, showing that CPD is influenced by temperature. All other variables also have a valid and significant causal link among each other. Additionally, the findings of variance decomposition suggest that results are robust, and all these factors have a significant influence on CPD in Bangladesh.

These findings have important policy implications for Bangladesh and other developing countries. For instance, introduce improved cereal crop varieties, increase CCA and familiarizes agricultural credits through formal institutions on relaxed conditions and on low-interest rates could reduce the CPD’s vulnerability to climate shocks.

To the best of the authors’ knowledge, this study is the first attempt to examine the short- and long-term impacts of CC on CPD in Bangladesh over 1988–2014. The authors used various econometrics techniques, including the ARDL approach, the Granger causality test based on the vector error correction model framework and the variance decomposition method.