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The purpose of this study is to test and validate a scale for measuring project resilience in the construction sector within the built environment. By identifying relevant indicators and items, the study aims to enhance the resilience of construction projects and minimize losses and failures resulting from disruptive events such as societal, technological, biological and environmental hazards (e.g. Covid-19, war in Ukraine, shortage of resources, etc.).

The study uses a quantitative approach, specifically exploratory factor analysis and confirmatory factor analysis, to evaluate the suitability, dimensionality and reliability of the proposed indicators and items for measuring project resilience in the construction sector.

The study found that 9 indicators and 34 items were suitable for measuring project resilience in the construction sector, and the proposed model showed good fit for the two dimensions of project resilience, which may have practical implications for project managers in the construction sector within the built environment.

The study proposes a new scale for measuring project resilience in the construction sector, which is a novel contribution to the field of project management. The study identifies specific indicators and items that are relevant to this industry, which may have practical implications for project managers in this sector. The study also highlights the need for further research to make the project resilience scale more robust and reliable.

This paper explores the impact of multiple team membership (MTM) on the productivity of team members in engineering consulting firms. MTM refers to employees participating concurrently in multiple teams, a concept closely linked to projectification. Despite the fact that this concept can enhance collaboration, it also introduces coordination challenges that may negatively affect productivity.

Through an inductive approach involving 12 semi-structured interviews with engineering consulting professionals specializing in water and energy infrastructure projects, this paper examines the factors affecting team member productivity in an MTM setting. Following the interviews, a Delphi technique was employed, engaging 16 experts to rank the factors and sub-factors identified from the interview data. This two-stage approach ensured a comprehensive and validated assessment of productivity factors.

This study develops 8 factors process model grounded in structuration theory to explain the socio-technical mechanisms by which multiple team membership shapes productivity outcomes in engineering consulting firms specialized in water and energy infrastructure projects. Key findings surface micro-foundations, tensions in technology provisions, planning processes, and career development that inform theoretical advances and practical improvements.

This research contributes empirically insights into managing MTM in expert service contexts. Applying Giddens' structuration theory, this study reveals how agency and structures shape productivity across organizational, team, and individual levels. In practice, this study provides recommendations for improving productivity within projectified environments, mainly for team members working in an MTM environment in engineering consulting firms specializing in water and energy infrastructure projects.

As part of the scale development process, this paper aims to test a scale to measure organizational resilience for the oil and gas industry. The objective is to provide stakeholders with a set of indicators to evaluate their organizations and prepare them to cope with the negative consequences of disruptions (e.g. Covid-19, shortage of resources, etc.).

The paper conducts exploratory and confirmatory factor analysis to test the suitability, dimensionality and reliability of specific indicators and their items under examination. Therefore, the goal is not to validate hypotheses by testing an organizational resilience scale in the oil and gas industry.

The study tests and proposes a scale to effectively measure organizational resilience within the oil and gas industry. A comprehensive set of ten indicators and 40 items are identified through this process. The findings of this research provide stakeholders in this sector with a rigorous set of indicators to evaluate the strengths and weaknesses of their organizations and better prepare them to handle disruptions.

This paper fills the gap in existing research by testing and proposing a scale to measure organizational resilience specifically for the oil and gas industry. It highlights the importance of organizational resilience for survival in a sector that is especially susceptible to disruptions.

This paper aims to explore the empirical literature on organizational resilience. The goal consists of identifying and understanding the indicators used to evaluate organizational resilience and instigating the development of indicators to assess resilience in other areas, such as project management and critical infrastructure.

A review of recent empirical studies is conducted to collect information on the indicators used to assess organizational resilience.

A range of interrelated indicators aiming to measure organizational resilience in two dimensions is shown in this literature review: awareness and adaptive capacity. Awareness is the ability of an organization to assess its environment and interpret the changes in its surroundings, both now and in the future, to be proactive and better manage possible disruptive events. On the other hand, adaptive capacity is the organization’s capacity to transform its structure, processes, culture, etc. for recovering once faced with a disruptive event. Awareness forms the main base of the organization’s adaptive capacity.

Organizational resilience contributes to the safe development of the built environment. This concept helps organizations to cope with disruptions. However, little research has been conducted on the indicators to assess organizational resilience, in different fields. Moreover, these indicators’ credibility is based on empirical studies.

Technology adoption is a great challenge in the banking sector of Pakistan. A recent report issued by state bank of Pakistan revealed that there is a squeak growth, only 3 percent, in internet banking adoption. In order to effectively delve into the issue of internet banking adoption, the purpose of this paper is to use unified theory of acceptance and use of technology factors, namely performance expectancy and effort expectancy and e-service quality (E-SQ), as theoretical lens for this study.

The research model was empirically tested using 398 valid responses from customers of commercial banks in Pakistan. The theoretical model was tested using structural equation modeling.

Findings indicate that performance expectancy, effort expectancy, website design, customer service, assurance and reliability have direct influence on user intention to adopt internet banking. Results revealed that approximately 79 percent of variance in user intention to adopt internet banking was explained by predictors. In addition, the mediating role of performance expectancy and effort expectancy among website design, customer service and user intention was also confirmed.

For researchers, this study provides a base of integrated technology model and it suggests using this model in other online domains such as mobile payment and online web-shopping for further refinement. For policymakers, understanding the key constructs is important to design, refine and implement new internet banking website that, in turn, will boost internet banking adoption trend among users of commercial banks.

This paper makes a unique contribution toward information system and services marketing literature. The study schematized that website design, customer service, assurance and reliability are the key dimensions of E-SQ and significantly influence the user intention to adopt internet banking.

Technology acceptance, especially internet banking adoption, has become a vital issue in the business world today. The potential of this technology is enormous. The purpose of this study is to ascertain determinants of internet banking adoption using unified theory of acceptance and use of technology (UTAUT) and electronic service (e-service) quality, which accounts for changes in user’s intention to adopt internet banking.

The authors collected data from customers of commercial banks using structured questionnaires. The data were collected in four weeks in the beginning of September 2017. A two-stage approach of confirmatory factor analysis (CFA) and structural equation modeling (SEM) were used for data analysis.

The results reveal that integrated UTAUT model had significant influence on user intention to adopt internet banking. Findings of the SEM indicated that approximately 80 per cent of the variance in user intention to adopt internet banking was accounted by predictors. The study schematized that assurance is the most influential factor among all other technology and service quality factors. Additionally, performance expectancy and effort expectancy were found to be positive and significant mediator variables among website design, customer service and customer’s intention to adopt internet banking.

It is recommended that both website designers and managers should focus on technology and service quality factors to boost the confidence of internet banking users. Importance performance matrix analysis suggested that managers should provide assurance to internet banking users, so that they could maintain a long-term relationship with internet banking services. The study calls researchers to test the integrated UTAUT model in other electronic commerce (e-commerce) domains such as online booking or online shopping websites.

To the best of author’s knowledge, this study is the first that extend the UTAUT model with four e-service quality dimensions, namely, website design, customer service, assurance and reliability to investigate user’s intention to adopt internet banking in developing country context of Pakistan. More importantly, the mediating role of performance expectancy and effort expectancy is examined first time within integrated UTAUT model. Furthermore, the integration of UTAUT model contributes to the advancement of internet banking acceptance and offers useful insights to researchers and policy-makers on how to enhance internet banking acceptance among customers of commercial banks.

M-wallets have emerged as one of the most important financial innovations of the 21st century, enabling users to carry digital cash by securely storing payment methods on their mobile devices. However, the continued use of m-wallets varies among people for several reasons. This study used the technology continuation theory (TCT), gamification and trust factors to examine the variables affecting consumers' intentions to continue using mobile wallets.

The SmartPLS partial least squares software was used to analyze data from 431 m-wallet users in Vietnam using the structural equation modeling technique.

The data revealed that the research model can predict users' intentions to continue using mobile wallets. TCT constructs demonstrated strong exploratory power in explaining consumer satisfaction and attitudes towards m-wallets. Furthermore, the study confirmed the direct effect of the perceived effectiveness of gamification on perceived ease of use and attitude, as well as its indirect effect on consumers' continued use intentions of mobile wallets via attitude. In addition, the trust negatively influenced consumers' intentions to continue using m-wallets.

The findings of this study can help researchers, practitioners and policymakers improve m-wallet design, development and adoption, as well as advance financial technology and define the future of digital payments in terms of consumer attraction, engagement and financial inclusion.

Based on TCT theory, this study enriches m-wallet research by examining two important factors, gamification and trust, and thus provides insights into how to improve consumers’ intentions to continue using m-wallets in developing countries. This study offers timely insights into theory and practice regarding these factors. It therefore paves the way for researchers and practitioners to learn how easy, enjoyable and secure the end-user experience should be to keep users engaged with m-wallets.

Mobile learning has emerged as one of the main methods for training and academic activities in the present era. It is, also, highly relevant in the wake of the COVID-19 pandemic whereupon digitization of mobile learning has made it possible for many students to continue with their education. This study investigated attitudes and intentions towards the adoption of mobile learning in vocational education.

This is a quantitative study based on cross-sectional empirical data. In targeting vocational students throughout Pakistan, the study used a survey questionnaire with a convenience sampling method. From the responses to the questionnaire, 320 samples were used to obtain the study outcomes.

The structural equation modeling’s (SEM) findings reveal that learning autonomy (LA), mobile device self-efficacy (MDSE), task-technology fit (TTF), perceived ease of use (PEOU), perceived usefulness (PUS) and perceived enjoyment (PE) have a positive and significant effect on mobile usage attitudes (MUA) and intentions to adopt mobile learning (ITAML). Moreover, this study’s findings confirm, also, MUA’s predictive power on ITAML.

Further, this study’s findings encourage individuals to use mobile devices to properly promote knowledge in society. In addition, this study’s findings support vocational institutions’ operators’ and policymakers’ development of online education and training strategies to resist the complications arising from the transmission of COVID-19. Moreover, this study’s findings open new doors when conducting similar research studies on students’ perceptions and learning behaviors.

The empirical investigation of attitudes and intentions to adopt mobile learning in the context of COVID-19 helps potential adopters to test the likely behaviors.

Life insurance remains an essential part of financial and social security. The insurance penetration rate is high in the developed countries but very low in developing countries such as Malaysia, with only 4.8% penetration and extremely low underwritings. Therefore, this study aims to scrutinize the underlying determinants of a household purchase behaviour of life insurance.

The data generated from the administration of survey questionnaires to 325 households were analysed, using structural equation modelling to obtain the research purposes.

The analysis reveals that the knowledge of life insurance, attitudes towards life insurance, subjective norms (SN), trust and risk perception, affect the tendency of a household to purchase life insurance. The results of this study also highlight that households’ purchase-propensity influences the purchase behaviour of life insurance. Concurrently, the intention to purchase has mediating effects on explanatory variables and purchase behaviour.

This paper established awareness, SN, perceived behavioural control, trust and risk perception as the key determinants promoting positive attitudes towards purchasing life insurance. The findings of this study can be successfully applied to different stakeholders in a similar context. This study suggests that the managers of life insurance companies should adjust their policy guidelines in accordance with the positive relationship between the constructs and consumers’ intention to purchase life insurance.