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This study investigates the impact of transformational leadership and transparent communication on employees' openness to change with the mediating role of employee organization trust and moderating effects of change-related self-efficacy.

A sample of 260 employees from banking sector of Pakistan through self-administrated questionnaire participated in this study and the data was analysed through partial least square structural equation modelling (PLS-SEM).

The results reveal that transformational leadership and transparent communication help to create trust among employees of the organization which ultimately have positive effects on employee openness to change. Further, the results suggest that the presence of change-related self-efficacy significantly moderates relation between the transformational leadership and employee openness to change. However, change self-efficacy does not change the relationship between transparent communication and employee openness to change.

This study contributes to change management literature and helps organizations to understand the importance of employees and their positive behaviour during change.

The researcher provides the guidelines for employers to craft change communication policy during the change implementation phase.

This study tests a mediating role of employee organization trust and moderating role of change-related self-efficacy in relation with transformational leadership and transparent communication on employees' openness to change which had not been tested theoretically and empirically in the context of Pakistan.

Effective performance management of local governments is essential for efficient service delivery to the citizens. This is especially true for developing countries where performance management of public sector is severely lacking. The purpose of this paper is to discuss a pioneering and effective performance management framework that has been implemented in the province of Khyber Pakhtunkhwa, Pakistan.

The paper outlines the design and implementation of the system in light of relevant research work. Latest digital technologies including smartphone applications and social media have been used to make the system effective and responsive to the needs of the citizens and sustainable in the long term.

The impact of the system includes a drastic reduction in polio infection cases by 90 percent in the province and the successful completion of one of the biggest afforestation campaigns in the world in recent years. In addition, noteworthy improvements in public health, education and municipal services have also been achieved through this system in a province that has a population of 30.5 m.

The paper uses field data to highlight the positive impact of the system which has been operational for more than two years now.

The strong positive impact of the system supports the case for implementation of similar public sector reforms in other developing countries.

The implementation of the system has resulted in significant improvements in social sector service delivery.

There is very limited literature available on successful performance management reforms in the public sector of the developing world. Therefore, this case study can be a very important resource.

The purpose of this study is to predict the antecedents of consumers' purchase intention of energy-efficient home appliances. This study incorporated two additional constructs (knowledge of eco-labels and knowledge of eco-labels) in the model of the theory of planned behavior. Consumers' enhanced trust for energy-efficient products is crucial to purchase intention. The second construct is consumers' knowledge of eco-labels. Knowledge of eco-labels would help to assess consumers' tendency toward environmental problems and intention to purchase energy-efficient home appliances.

This study used a quantitative approach using a survey (questionnaire) method to collect data of respondents. Non-probability quota based on age and convenience sampling techniques were employed to select the participants of this study.

The findings of the study revealed that consumer knowledge of eco-labels, green trust, subjective norm, attitude and perceived behavioral control have positive influence on purchase intention of energy-efficient home appliances.

Eco-labels are served as a marketing tool to distinguish producer's products from others. Prior studies have only focused on consumers' general knowledge. This study helps marketers to understand and design strategies to generate more value for green consumers. This study also contributes to the literature on green marketing by employing the theory of planned behavior.

This study aims to investigate the irreversibility associated with the Fe3O4–Co/kerosene hybrid-nanofluid past a wedge with nonlinear radiation and heat source.

This study reports the numerical analysis of the hybrid nanofluid model under the implications of the heat source and magnetic field over a static and moving wedge with slips. The second law of thermodynamics is applied with nonlinear thermal radiation. The system that comprises differential equations of partial derivatives is remodeled into the system of differential equations via similarity transformations and then solved through the Runge–Kutta–Fehlberg with shooting technique. The physical parameters, which emerges from the derived system, are discussed in graphical formats. Excellent proficiency in the numerical process is analyzed by comparing the results with available literature in limiting scenarios.

The significant outcomes of the current investigation are that the velocity field uplifts for higher velocity slip and magnetic strength. Further, the heat transfer rate is reduced with the incremental values of the Eckert number, while it uplifts with thermal slip and radiation parameters. An increase in Brinkmann’s number uplifts the entropy generation rate, while that peters out the Bejan number. The results of this study are of importance involving in the assessment of the effect of some important design parameters on heat transfer and, consequently, on the optimization of industrial processes.

This study is original work that reports the hybrid nanofluid model of Fe3O4–Co/kerosene.

The purpose of the study is to analyse the occurrence and distribution of different tree species in Gilgit-Baltistan, Pakistan, as a baseline for further inventories, and estimate the biomass per species and plot. Furthermore, it aims to measure forest biodiversity using established formulae for tree species diversity index, richness, evenness and accumulative curve.

Field data were collected, including stratification of forest sample plots. Statistical analysis of the data was carried out, and locally appropriate allometric equations were applied for biomass estimation.

Representative circular 556 forest sample plots of 1,000 m² contained 13,135 trees belonging to nine tree species with a total aboveground biomass of 12,887 tonnes. Sixty-eight per cent of the trees were found between 2,600 and 3,400 masl; approximately 63 per cent had a diameter at breast height equal to 30 cm, and 45 per cent were less than 12 m in height. The Shannon diversity index was 1.82, and Simpson’s index of diversity was 0.813.

Rough terrain, long distances, harsh weather conditions and location of forest in steep narrow valleys presented challenges for the field crews, and meant that fieldwork took longer than planned.

Estimating biomass in Gilgit-Baltistan’s forests using locally developed allometric equations will provide transparency in estimates of forest reference levels, National Forest Monitoring System in Pakistan and devising Reducing Emissions from Deforestation and Forest Degradation national strategies and for effective implementation.

This paper presents the first detailed forest inventory carried out for the dry temperate and semi-arid cold region of Gilgit-Baltistan, Pakistan.

The purpose of this study is to provide a broad understanding of the pre-completion stage and subsequent abandonment of mergers and acquisitions (M&As).

A total of 117 peer-reviewed, English language articles published in scholarly journals were considered in the review. The approach includes a descriptive evaluation of the literature, coupled with content analysis. The paper uses both positivist and constructivist approaches to qualitative research. The analysis is conducted with the help of R programming and Gephi visualization software. The authors organize the work around the event of outcome/closure of deal proposal.

It is found that earlier studies sampled on domestic M&As in developed economies (DEs). However, the interest of scholars has increased in cross-border deals and emerging economies (EEs) in the last decade. Various factors interact and facilitate the completion/abandonment of good and bad deals. The authors find that complex non-linear relationships exist, and there is a need for studies with other classification techniques focusing on predictive accuracy.

The literature review is limited to articles available to the researcher using search terms related to M&A completion/termination. The databases accessed were: ProQuest, Scopus and Web of Science. However, backward snowballing was performed to avoid the omission of relevant articles.

The findings and subsequent discussions familiarize researchers and practitioners with an overview of research undertaken in the field of M&A abandonment. The authors find voids within the literature and suggest future research agendas.

This study aims to investigate the effect of perceived insider status to employees' innovative behavior, the mediating role of knowledge sharing and the moderating role of organizational innovation climate in the relationship between knowledge sharing and employees' innovative behavior.

This study adopted questionnaires to gather data. The sample of 341 employees working in diverse organizations in China was applied to examine the hypotheses.

The results indicate that perceived insider status is positively related to employees' innovative behavior and knowledge sharing mediates the relationship between perceived insider status and employees' innovative behavior. In addition, organizational innovation climate enhances the relationship of knowledge sharing and employees' innovative behavior.

This study builds a system from psychological aspect to behavior, which includes the mechanism of the influence of perceived insider status on employees' innovative behavior and a cross-level analysis of the influence of organizational innovation climate on employees' innovative behavior, breaking through the previous research paradigm of a single level of climate and employee behavior.

In this study, the authors examine how a retail bank's positive, neutral, and negative prior ethical reputations influence customers' perceptions and attitudes, leading to their bank selection decisions and also analyze whether there is a trade-off between a bank's negative prior ethical reputation and its functional benefits to customers.

The authors followed a sequential exploratory mixed-methods research design with two studies. The authors’ first study was qualitative, in which the authors conducted interviews and focus groups with banking customers in Pakistan. The results of this study were used to generate hypotheses that were tested in the second study using random choice experiments.

The results indicate that positive and neutral prior ethical reputations do not significantly impact customers' choices; however, a negative reputation does affect selection. The results also show that customers punished negative reputations, even when the associated functional benefits were higher than the alternatives.

This is one of the first mixed-methods studies in an emerging economy context to consider the impact of ethical reputation on consumer orientation and bank selection decisions.

Mergers and acquisitions (M&As) are important strategic actions undertaken by firms to access resources and markets. However, firms face substantial challenges in M&As during deal completion. While prior literature reviews synthesize the studies on the post-merger consequences of M&As, the literature on deal completion is largely fragmented. In this paper, the authors synthesize prior literature on deal completion into the antecedents and consequences framework and map various studies across the international business and management, finance and accounting literature at the macro-, meso- and micro-levels.

The authors adopt a content analysis-based methodology to conduct the review. First, the authors identify existing literature on deal completion based on keyword searches. Next, the authors propose a framework that integrates the extant literature from a multi-theoretic perspective across four broad themes: concepts, antecedents, implications and moderators. In this study, the authors consider not only empirical but also conceptual papers to strengthen the theoretical foundations of M&A literature. Finally, after synthesizing various studies, the authors highlight a future research agenda on deal completion.

Based on the review, this study provides important avenues for future research on M&A deal completion.

This study theoretically integrates multi-disciplinary and multi-country research on acquisition completion.

This paper aims to identify the unidimensionality and reliability of 84 factors that influence the performance of construction projects and develop a confirmatory factor analysis (CFA) model.

The study adopted a deductive research approach and started by identifying the positive factors that influence construction project performance. This was followed by the modification of the identified factors. After that, a questionnaire was developed out of the factors for data collection. Exploratory factor analysis was used to establish the factor structure of the positive factors, and this was verified using CFA afterwards. A model fit analysis was performed to determine the goodness of fit of the hypothesised model, followed by the development of the confirmatory model.

The study demonstrated substantial correlation in the data, sufficient unidimensionality and internal reliability. In addition, the estimated fit indices suggested that the postulated model adequately described the sample data.

The paper revealed that performance can be enhanced if stakeholders identify and leverage the positive factors influencing performance. The paper suggests that project stakeholders, particularly government, project owners, consultants and construction firms, can improve project performance by critically examining economic and financial systems (EFS), regulation and policy-making systems (RPS), effective management practices (EMP) and project implementation strategies (PIS).

The contribution of this paper to the present literature is identifying the positive factors and developing the confirmatory factor model. The model comprised 42 positive variables under four indicators: EMP, RPS, PIS and EFS.