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This study aims to investigate the factors that influence the continuance intention to use personal cloud storage services among Generation Y.

A quantitative online survey was carried out to collect data from 271 respondents. Structural equation modelling with SmartPLS 4.0 software was used to run the analysis and examine the hypothesized relationships in the research model.

The study revealed that both satisfaction and habit exert a significant influence on continuance intention, whereas self-efficacy does not demonstrate a significant effect. In addition, satisfaction was found to be influenced by confirmation, perceived usefulness and perceived security. Furthermore, confirmation and cloud storage service quality were found to impact perceived usefulness, while confirmation also had an effect on perceived security. However, the hypothesized moderating role of perceived privacy risk in the relationship between perceived usefulness, perceived security and satisfaction was not supported.

This study advances the field by adapting an expanded expectation-confirmation model that delineates the nuanced impacts of habit, user satisfaction and self-efficacy on Generation Y’s continuance intention to use personal cloud storage services. It challenges the conventional wisdom regarding self-efficacy’s influence on technology adoption, offering a more intricate portrayal of its role. This research contributes a distinctive theoretical perspective, emphasizing the complex interplay of factors that inform sustained user engagement with cloud technologies.

The adaptive performance of architects as a key professional in project delivery teams has become important for developing strategies, skills and cognitive behaviours for sustainability of working systems. However, the understanding and knowledge of adaptive performance of architects is lacking in the current literature. Thus, this study fills this gap by primarily assessing the adaptive performance of architects in project teams in project delivery.

By adopting the widely used eight-dimension attributes of adaptive performance, a questionnaire survey was conducted among team participants and stakeholders who directly or indirectly work on projects with architects in the public and private sectors project delivery supply chain in Ghana. A total of 42 responses were subsequently used in a fuzzy set theory analysis being facilitated by a set of linguistic terms.

From the assessment, the overall adaptive performance of architects from the eight-dimension attributes emerged to be fairly high. Additionally, the architects’ performance in the individual eight-dimensions showed varied results. High performance was registered in architects’ ability to handling work stress and cultural adaptability. Also, architects demonstrated a fairly high performance in dealing with uncertain or unpredictable work situations. However, in the cases of learning work tasks, technologies and procedures, interpersonal adaptability and handling crisis and emergency situations, architects were deemed to have low and fairly low adaptive performance among project teams.

Given the vagueness and complexities in understanding adaptability among teams and its assessment, through the use of fuzzy set theory based on a suitable set of linguistics terms, the study presents a novel understanding of the level of architects’ adaptive performance in project teams in project delivery. The findings are extremely useful in helping architects adapt and cope with changing competitive work environment by developing the right cognitive behaviours for task functions and organizational roles, disruptions and aiding their ability to self-regulate.

This paper aims to present a comprehensive assessment of the literature about the research agenda for future studies on risk management in small and medium-sized businesses (SMEs) with a research agenda for bibliometric analysis. The author's goals are to point out inconsistencies and gaps in the literature and to suggest directions for future study.

A total of 147 papers were analyzed in terms of bibliographic information, research design, and findings. These included publication by year, most cited documents, citation by year, publication by authors, publication by subject area, publication by country, publication by affiliation, funding sponsor, network representation of keyword co-occurrence, and cluster visualization of keyword co-occurrence. This study used bibliometric analysis methods, keyword searches, and suitability assessment for bibliometric analysis.

The bibliometric research revealed a number of potential risk categories for small and medium enterprises (SMEs). In addition, an analysis of the risk-related elements aimed to avoid or reduce their adverse effects, the published study highlights how crucial a risk management procedure is for SMEs. Risk factors were also shown to be unavoidable; as a result, everyone needs to practice social responsibility in order to reduce the detrimental effects on the economy.

Future studies are required on risk identification, analysis, plan implementation, and control in the context of small and medium-sized enterprise risk management.

This work represents the first in a bibliometric analysis of risk management in small and medium-sized enterprises (SMEs) for the future research agenda.

Cybersecurity has received growing attention from academic researchers and industry practitioners as a strategy to accelerate performance gains and social sustainability. Meanwhile, firms are usually prone to cyber-risks that emanate from their supply chain partners especially third-party logistics providers (3PLs). Thus, it is crucial to implement cyber-risks management in 3PLs to achieve social sustainability in supply chains. However, these 3PLs are faced with critical difficulties which tend to hamper the consistent growth of cybersecurity. This paper aims to analyze these critical difficulties.

Data were sourced from 40 managers in Nigerian 3PLs with the aid of questionnaires. A novel quantitative methodology based on the synergetic combination of interval-valued neutrosophic analytic hierarchy process (IVN-AHP) and multi-objective optimization on the basis of a ratio analysis plus the full multiplicative form (MULTIMOORA) is applied. Sensitivity analysis and comparative analysis with other decision models were conducted.

Barriers were identified from published literature, finalized using experts’ inputs and classified under organizational, institutional and human (cultural values) dimensions. The results highlight the most critical dimension as human followed by organizational and institutional. Also, the results pinpointed indigenous beliefs (e.g. cyber-crime spiritualism), poor humane orientation, unavailable specific tools for managing cyber-risks and skilled workforce shortage as the most critical barriers that show the highest potential to elicit other barriers.

By illustrating the most significant barriers, this study will assist policy makers and industry practitioners in developing strategies in a coordinated and sequential manner to overcome these barriers and thus, achieve socially sustainable supply chains.

This research pioneers the use of IVN-AHP-MULTIMOORA to analyze cyber-risks management barriers in 3PLs for supply chain social sustainability in a developing nation.

This study aims to investigate the effects of smart tourism technology experience (STTE) on tourist satisfaction and happiness in Bordeaux, with a focus on understanding the mediating role of self-gratification. By examining these relationships, the study seeks to provide insights into how smart tourism technologies can enhance tourist experiences.

The study uses partial least squares-structural equation modeling (PLS-SEM) to analyze data collected from 380 tourists who visited Bordeaux. The measurement model assesses reliability and validity, while the structural model evaluates the proposed hypotheses and the mediation effects of self-gratification.

The results confirm that STTE positively impacts tourist satisfaction, with accessibility, informativeness and personalization significantly enhancing tourist satisfaction, while interactivity does not. Tourist satisfaction, in turn, positively affects tourist happiness. Furthermore, self-gratification partially mediates the relationship between tourist satisfaction and happiness, highlighting its importance in the smart tourism context.

This research extends the understanding of STTE by demonstrating its effects on tourist satisfaction and happiness. It introduces the mediating role of self-gratification, providing a novel perspective on how personalized smart tourism experiences contribute to overall tourist happiness.

This paper aims to investigate whether official development assistance (ODA) inflows to developing countries (lower-middle and low income) can cause the symptoms of Dutch disease or not.

This study applies the methodology of dynamic panel data estimation with a one-step system generalized methods of moment (GMM) for the sample of 59 developing countries from 2001 to 2019.

The results indicate that ODA (as a percentage of gross domestic product (GDP)) rises by 1%, the real effective exchange rate (REER) appreciates by 0.252%. This finding reveals that these selected developing countries have faced the symptoms of Dutch disease. The countries with the higher ODA ratio have a higher effect of the Dutch disease, and the managed floating exchange rate regime is the lowest impacted, when compared to the fixed and flexible exchange rate.

The selected countries are recommended to use ODA inflows right and efficiently. These ODA inflows should be invested in productive sectors or support for production rather than in consumption. The managed float exchange rate regime is applied to reduce the symptom of Dutch disease for the selected countries. The good cooperation of monetary and fiscal policies is important to absorb the huge ODA inflow and sterilize the adverse effects of the disease.

The paper contributes to the literature and empirical of the Dutch disease. An adverse effect of the huge ODA inflow to the developing countries appreciated of the real exchange rate and caused the symptom of the dutch disease.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-12-2022-0777

This paper aims to identify potential barriers to Industry 4.0 adoption for manufacturers and examine the changes that must be made to production processes to implement Industry 4.0 successfully. It aims to develop technology by assisting with the successful implementation of Industry 4.0 in the manufacturing process by using smart system techniques.

Multiple case studies are used in this paper by using the smart system and Matlab, and semi-structured interviews are used to collect qualitative data.

Standardization, management support, skills, and costs have been cited as challenges for most businesses. Most businesses struggle with data interoperability. Complexity, information security, scalability, and network externalities provide challenges for some businesses. Environmental concerns are less likely to affect businesses with higher degrees of maturity. Additionally, it enables the Technical Director’s expertise to participate in the measurement using ambiguous input and output using language phrases. The outcomes of the numerous tests conducted on the approaches are extensively studied in the provided method.

In this research, a multiple-case study aims to carry out a thorough investigation of the issue in its actual setting.

The research about the concept of Halal tourism has emerged recently. It becomes the vital factor in determining the tourists's satisfaction or their loyalty. Thus, this concept needs to be developed in certain areas because it still not acknowledged. The purpose of this study is to align the theoretical foundations of Halal tourism to conventional tourism paradigms. It investigates the value of Muslim tourists' perception in the context of Malaysian tourist destination. The six variables of Muslim tourist perceived value (MTPV) are examined such as quality, price, emotional, social, physical and non-physical attributes. The respondents of the research are a total of 205 Muslim tourists in Langkawi, Malaysia during October 2021 (Langkawi Tourism Bubble). The results indicated four (4) variables have impacts on tourist satisfaction. Practical implications will impact towards cognitive, affective and Islamic (i.e. Halal) values on tourist satisfaction. It was examined as one of the priotitize destination experience on tourist satisfaction. The findings provide Malaysian tourism with significant managerial implications. It also impacted the Halal tourism as a new approach specifically in the post COVID-19 era. Hence, in improving Muslim tourist satisfaction, destination marketers should consider the Halal tourism. Tour agencies also should scrutinize the product and services value including destination attributes that they offer. The destination's competitiveness will be strengthened with the right destination attraction, facilities, accommodation and activities that suit Muslim tourists.

This study aims to explore the role of urban streets as transitional edges in coordinating socio-spatial interactions within the urban environment. It will focus on how streets can revitalize their surrounding environments and shape sustainable urban living through their characteristics.

Employing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework, this study systematically reviewed 67 international research articles published from 2013 to 2023. It delved into the functionalities of urban streets as transitional edges under various social and physical interactions, covering the multidimensional impacts of streets at the social, spatial and individual levels.

The results demonstrate that the physical and social dimensions of streets, through their characteristics as transitional edges, not only complement each other but also effectively promote social space interactions and sustainable urban development. As a key public space at the interface of social and physical realms, streets influence residents' daily lives and balance the socio-spatial environment.

Although this study deepens the understanding of urban streets as transitional edges, it faces limitations due to the scarcity of literature related to transitional edges, which may affect the depth and breadth of the research. Future studies are required to further verify theoretical findings through field research and case studies and to explore practical applications of street design to enhance data comprehensiveness and availability.

The originality of this article lies in defining urban streets as dynamic transitional edge spaces, redefining their dual role in urban design to connect physical forms and social functions. Through a comprehensive literature review, this study provides theoretical support for urban planning and design practices, emphasizing their application value in promoting urban social interaction and sustainable development.