Search results

This study aims to investigate the impact of academic leadership on the organizational commitment of faculty members in private universities in Punjab. Work engagement was examined as a mediator, and co-worker support was considered as a moderator.

The study used a quantitative, cross-sectional approach with convenience sampling. Regression and correlation analyses were used for hypothesis testing. Social exchange theory guided the exploration of academic leadership’s impact on faculty members’ organizational commitment.

Results of the current study indicated a positive and significant effect of academic leadership on organizational commitment. Work engagement was identified as a partial mediator in this relationship. However, co-worker support was found to be an insignificant moderator, indicating no substantial influence on the relationship between academic leadership and work engagement among faculty members in private-sector universities.

The similarity of the paper is less than 18%.

This paper aims to understand the facilitators and inhibitors that might influence customers' adoption of smart banking services (SBS) in Pakistan.

Semi-structured interviews were conducted with 33 bank customers in Multan and Lahore using a case study design. Cases were selected using a purposive sampling strategy with maximum variation. A thematic content analysis (TCA) was performed to analyze the qualitative data.

The findings of this study support the notion that SBS has become a sine qua non of 21st-century banking owing to performance expectancy, effort expectancy, social influence, price value, facilitating conditions, habit and hedonic motivation. However, information privacy concerns and big brother effect impair customers' cognitive, personal and social experiences, creating an obstacle toward SBS adoption.

Studying SBS adoption only in Pakistan represents the perspective of a developing country, which limits the generalizability of the findings.

Pakistani customers' demand for SBS can be linked to its performance. By upgrading technology, banks can improve the usefulness of these services.

The first scholarly inquiry explores the facilitators and inhibitors that could influence the adoption of SBS in Pakistan.

This study determines whether government support for innovation (GSFI), knowledge sharing, knowledge management success (KMS) and intellectual capital (IC) strengthens the relationship between firm innovation and performance in the manufacturing industry in Vietnam.

A theoretical model and related hypotheses on manufacturers in Vietnam were developed based on the resource-based view and knowledge-based view. Data were collected from 361 respondents through a structured questionnaire and analyzed by partial least squares-structural equation modeling.

GSFI and IC significantly and positively influence firm innovation and performance. However, knowledge sharing does not affect firm innovation. Moreover, KMS fully mediates the positive relationship between knowledge sharing and firm innovation, and firm innovation partially mediates the positive relationships of IC and government support with firm performance.

The findings show how managers can utilize IC, KMS and government assistance to maximize the benefits of innovative outcomes and improve business performance.

This groundbreaking study creates a research model incorporating IC, knowledge sharing, KMS, GSFI, firm innovation and firm performance by extending two theories. Although the effects of various intangible assets on firm performance have been discussed extensively in the literature, there has been limited focus on the significance of KMS, knowledge sharing, IC and GSFI for enhancing innovative outcomes and driving business success in emerging markets such as Vietnam.

This paper investigates the relationship between human capital, economic freedom, governance performance, and economic growth and whether institutional factors such as governance performance and economic freedom mediate the association between human capital and economic growth.

In this study, the authors apply the panel data regression method to verify five hypotheses and check the robustness of the empirical findings from four aspects (chow test, panel unit root test, granger test and generalized method of moments) based on the data covering China, India, Russia, Brazil and South Africa from 2000 to 2018.

After multiple tests with mixed methods, the empirical results show that the relationship between human capital and economic growth is not linear but inverted U-shaped. Furthermore, human capital has a positive effect on economic growth only in a certain period of time, and governance performance positively moderates the effect of human capital on economic growth in BRICS.

First, the impact of human capital on economic growth is not linear but an inverted U-shaped and governance performance moderates the effect of human capital on economic growth in BRICS. The study and research model enhances the authors’ insights on the advantage and challenges of human capital in the future. Second, the proposed multi-methods in the study accurately forecast economic growth which partially solves endogenous problems because of reverse causality.

In this study, a novel framework was proposed to assess the trust in e-government (e-Gov) services under an uncertain environment. The proposed framework was applied in Iranian municipality websites of e-Gov services to evaluate the readiness score of trust in e-Gov services.

A unique hybrid research methodology was proposed. In the first phase, a comprehensive set of indices were determined from an extensive literature review and finalized by employing the fuzzy Delphi method. In the second phase, interval-valued intuitionistic fuzzy set (IVIFS) -was utilized to model the problem's uncertainty with analytic called IVIFS- hierarchy process (AHP) to determine the importance of indices and indicators by assigning the weights. In the third phase, the fuzzy evaluation method (FEM) is followed for assessing the readiness score of indices in case studies.

The findings indicated that “Trust in government” is the most significant index affecting citizen's trust in e-Gov services while “Maintenance and support” has the least impact on user's intention to use e–Gov services.

The study contributes by introducing a unique research methodology that integrates three phases, including fuzzy Delphi, IVIFS AHP and fuzzy evaluation method. Moreover, the fuzzy sets theory helps to reach a more accurate result by modeling the inherent ambiguity of indicators and indices. Interval-valued intuitionistic fuzzy models the ambiguity of experts' judgments in an interval.

The study helps policy makers to monitor wider aspects of trust in e-Gov services as well as understanding their importance. The study enables policy makers to apply the framework to any potential case studies to evaluate the readiness score of indices and recognizing strengths and weakness of trust dimensions as well as recommending advice for improving the situation.

The study is one of the few to indicate significant indices of trust in e-Gov services in developing countries. The study shows the importance of indicators and indices by assigning a weight. Additionally, the framework can assess the readiness score of various case studies.

Based on the technology acceptance model (TAM) and perceived risk theory (PRT), this study proposes a new model for exploring factors affecting citizens' intentions to use e-government in the Vietnamese context during the COVID-19 pandemic.

The current study takes the form of a case study of the Vietnam context and employs a quantitative method. An Internet-based survey was conducted in Vietnam and was completed by 441 respondents. Hypotheses were tested using a two-stage structural equation model. SPSS 22 and AMOS 20 software were used for primary data analysis.

The findings reveal that factors of TAM are still valuable in predicting citizens' intentions to use e-government services during the COVID-19 pandemic. In addition, the factor of PRT, namely, perceived risk of COVID-19 pandemic, also affects citizens' intentions to use e-government services. Attitudes toward e-government play a mediating role in the relationships between perceived usefulness, perceived risk and citizens' intentions to use e-government. Examining the predictive power of TAM and PRT factors, it can be seen that TAM factors have a higher total effect on citizens' intentions to use e-government, compared to PRT factor.

The present study demonstrates a new model for exploring factors affecting citizens' intentions to use e-government during the COVID-19 era. It explored the effectiveness of combining TAM and PRT as well as the predictive power of each factors in an integrated model aimed at predicting citizens' intentions in the emergency context like COVID-19. This study helps us improve our understanding of e-government usage and would be of particular interest to policymakers and service providers of e-system.

This paper aims to review and highlight the gaps in the research streams of the technological acceptance model (TAM) associated with e-banking services. The introduction of TAM as a decision-making process from individual and organizational perspectives is the core purpose of this paper.

This study is based on concept-centric reviews and synthesizing of previous research. Data are extracted from a systematic literature review published from 1975 to 2021 under the preferred reporting items for systematic review and meta-analyses statement.

This review explored that theory of reasoned action and theory of planned behavior are the basic theories proceeding to TAM evolution. TAM has been extended to its three versions, which are designed and modified for different contexts and cultures. Previously, the risk-return approach, theory of trust and perceived value were the major constructs or modifications in TAM. Now, TAM has been designed for measuring customers’ perception of any technological advancement.

This review is limited to major additive constructs in modified TAM concerning e-banking services, which can be expanded to different cultures and contexts. This study sketched TAM as a decision-making model associated with the factors influencing any technological advancement. So, the proposed conceptual framework is applicable for the behavioral analysis of technological adoption from individual and organizational perspectives in any field.

This review designed a bi-dimensional conceptual model of TAM as a decision-making process for e-services that has not been identified yet in any study from organizations’ and customers’ perspectives.

There is a growing trend in online shopping in developing and underdeveloped economies. Measuring web retail service quality is vital to enhance and retain online customers for higher profits. As a result, it is essential to understand e-service quality and its relationship with other e-commerce-related variables identified as customer satisfaction, word-of-mouth (WOM), loyalty and repurchase intention. The main objective of this research is to validate the psychometric properties of E-TailQ and ES-Qual scales to measure e-service quality in the context of an emerging economy.

The study was administered by surveying online customers through a convenience sampling approach. The sample data consisted of 329 valid responses. The data were analyzed using confirmatory factor analysis (CFA) and structural equation modeling (SEM).

The results suggest that both the scales are valid, reliable and adequate and confirm the psychometric properties of E-TailQ and ES-Qual scales in an emerging economy context. There is a positive and significant relationship between latent variables (E-TailQ and ES-Qual) and customer outcome variables like satisfaction, loyalty, WOM and repurchase intention. Additionally, the coefficients of the E-TailQ scale have higher values than ES-Qual scales in all dimensions. The perceived quality proved to be a precedent of satisfaction to a lesser extent than other scales' constructs, and it proved to be a superior predictor of WOM for the E-TailQ scale and loyalty for the ES-Qual scale. Overall, when measured by the ES-Qual scale, perceived quality could explain much of the sample's satisfaction, loyalty and repurchase intention compared to E-TailQ.

One of the significant limitations of this study is related to the data collection, as individual responses were collected at one particular point in time. Thus, it is impossible to verify the development of perceived service quality outcomes over a specific time. Another possible limitation is the selection of only two widely used scales, although other options are available in the literature. Finally, developing a new scale to address future challenges might be another alternative.

The results obtained in the study will help managers assess customer satisfaction, the reputation of the business through WOM, and customer intentions for the repurchase that will lead to loyalty by emphasizing e-service quality. It will enable them to design strategies for improving business performance. The developed instrument will assist in identifying the gaps and describing how service quality can achieve higher levels of customer satisfaction.

Several studies in the literature have used E-TailQ and ES-Qual scales to measure e-service quality in developed countries. Only a few studies addressed the validity of these widely used competing scales in an emerging economy like Pakistan. This study addresses the literature gap by addressing the reliability and validity of these scales and assesses the impact of e-commerce-related variables. Besides, the study reveals insights into the literature by addressing multiple dimensions of e-service quality and summarizes a deep understanding of each scale item that affects the perceived quality in a developing economy like Pakistan.

Despite the increasing demand for renewable energy (RE) as a low-carbon energy source, the transition to RE is very slow in many regions, including Oman, the case country for this study. It is critical to offer strategic insights to energy supply chain participants towards the sustainable transition to renewable energy (STRE). The purpose of this study is to identify viable RE sources in Oman as a case study of a GCC member country, develop a comprehensive framework of STRE, and suggest future research opportunities.

The paper addressed this problem through a country/regional study of Oman by conducting a systematic literature review (SLR) of RE-related peer-reviewed publications spanning over 21 years from January 2000 to February 2021. The qualifying articles are evaluated using template analysis qualitatively to identify viable renewable energy sources, build a holistic framework of STRE and recommend future research opportunities.

Findings confirm the potential of solar, wind, biomass and geothermal energies driven by environmental, economic and social sustainability concerns. However, results suggest that to fast-track the STRE, more emphasis should be accorded to solar and wind energies owing to the geographical composition of Oman. Findings reveal that policies and regulations, advanced and cost-effective technologies, subsidy regimes, grid connectivity and capacity, storage capacity and land availability influence the STRE. Gaps in the literature are identified from the results to clarify and suggest future research opportunities.

To the best of the authors’ knowledge, this is the first study that conducted an SLR that was evaluated using the template analysis technique to build a novel and updated framework that facilitates a crystalline understanding of STRE to guide policymakers and professionals in strategic decision-making.