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The aim of this paper is to characterise the association between business network and the balanced scorecard used by Malaysian small and medium enterprises (SMEs) as a method for assessing firm efficiency. The business network takes into account both the dimensions of stability and efficiency. The business network can help SMEs, with fewer resources to remain competitive. By having a secure business network, the performance of SMEs in Malaysia can be further improved. A business network can facilitate swift coordination amongst distant geographies to create new competitive advantages by accessing market segments, resources as well as building strategic business alliances.

A total of 404 sets of data collected by using stratified random sampling and structured questionnaire as an instrument. The list of SMEs collected from the Malaysia Foreign Trade Growth Corporate Directory (MATRADE) directories. Structural equation modelling (SEM) was utilised to analyse the data.

The findings show that the business network plays a role in the balanced scorecard (BSC) outcomes of Malaysian SMEs.

This article provides the owners and managers with an awareness to rapidly achieve the company's efficiency. Finally, the new article often has some consequences for decision-makers and regulators.

This study examines the predictors of behavioral intention of farmers to adopt a mobile agricultural finance application called e-AgriFinance using the Unified Theory of Acceptance and Use of Technology (UTAUT) and perceived cost as an additional predictor.

Using a questionnaire survey, data are collected from 337 farmers in Sarawak, Malaysia. The collected data are analyzed using partial least squares structural equation modelling (PLS-SEM).

The research finds that performance expectancy, effort expectancy, social influence and facilitating conditions are positively related to behavioral intention to adopt the e-AgriFinance app, with social influence being the strongest predictor. Perceived cost is also found to be positively related to behavioral intention which contradicts the prediction of the model.

This study contributes to the use of UTAUT in predicting the adoption of mobile agricultural finance applications among farmers.

For practice, this study provides implications for the Sarawak government to promote digital and financial inclusivity for all communities. This study also provides insights into important features of the e-AgriFinance app for digital finance providers to develop the apps that will be well accepted by farmers in the future.

This research is one of the few studies that focused on farmers' mobile technology adoption in agribusiness from the perspective of an emerging economy.

This study aims to investigate how artificial intelligence (AI)-powered smart home devices affect young consumers' requirements for convenience, support, security and monitoring, as well as their ability to advance environmental sustainability. This study also examines the variables that impact users' motivation to use AI-powered smart home devices, such as perceived value, ease of use, social presence, identity, technology security and the moderating impact of trust.

The responses from residents of Sarawak, Malaysia, were collected through online questionnaires. This study aimed to examine the perceptions of millennials and zillennials towards their trust and adoption of AI-powered devices. This study used a quantitative approach, and the relationships among the study constructs were analysed using partial least squares - structural equation modelling.

The present study found that perceived usefulness, ease of use and social presence were the main motivators among actual and potential users of smart home devices, especially in determining their intentions to use and actual usage. Additionally, there was a moderating effect of trust on the relationship between perceived ease of use, social presence, social identity and intention to use AI-powered devices in smart homes.

To the best of the authors’ knowledge, this is one of the first studies to examine the factors influencing smart technology adoption. This study provided meaningful insights on the development of strategies for the key stakeholders to enhance the adoption and usage of AI-powered smart home devices in Sarawak, one of the promising Borneo states. Additionally, this study contributed to the growing body of knowledge on the associations between technology acceptance model dimensions, intention and actual usage of smart technology, with the moderating impact of trust.

This study aims to explore the influence of internal and external factors on the entrepreneurial performance of rural indigenous women entrepreneurs (RIWEs) in Sarawak.

The study uses a qualitative approach in data collection and analysis. Data are collected by means of a semistructured interview from 19 RIWEs at rural areas in Sarawak. Data are then analyzed using thematic analysis in NVivo software.

The study finds that RIWEs’ decision to start their business is mainly motivated by pull factors such as ego to succeed, ability to be self-employed and financially independent and to contribute to household income. The important personality traits of RIWEs to succeed in the entrepreneurial venture include self-belief, perseverance, commitment and risk-taking. Functional competencies and relationship competencies are cited as the most important core competencies to succeed. In terms of external factors, social networks, financial resources and support, business training and workshops and government’s preferential treatment policies are found to be important to RIWE’s entrepreneurial success.

This study is one of the few that explores the determinants of successful RIWEs in an emerging economy.

This study aims to examine entrepreneurial performance differences between indigenous Dayak women entrepreneurs of their high versus low enterprising tendency in Sarawak, Malaysia.

A quantitative approach was used for data collection and analysis. The population of this study was the indigenous women entrepreneurs in Sarawak, Malaysia. Primary data were collected from 129 indigenous women entrepreneurs using convenience sampling. The survey instrument for measuring enterprising tendency and entrepreneurial performance was adopted from the relevant literature. Data were analyzed using independent t-tests in Statistical Packages for Social Science.

This study found that indigenous women entrepreneurs with higher enterprising tendencies performed better than those with lower enterprising tendencies. A significant difference was found between entrepreneurs with a higher enterprising tendency and those with a lower enterprising tendency in three of the five entrepreneurial attributes: need for achievement, creative tendency and calculated risk-taking. Nevertheless, no significant difference was observed in need for autonomy and internal locus of control between the two groups of indigenous women entrepreneurs.

Very few studies are available in the Malaysian context explicitly concerning women entrepreneurs in general and indigenous Dayak women in specific. Therefore, this study provides novel insights into the relationship between enterprising tendency and entrepreneurial performance among indigenous Dayak women entrepreneurs in Malaysia.

This paper positions environmental concern as the antecedent of attitude, subjective norm and perceived behavioural control. It also sets to expand the theory of planned behaviour by including two condition factors: favourable situation and facility availability on the intention to separate food waste at source.

The study collects data by using self-administered questionnaires on 682 respondents in Malaysia. Structural equation modelling is employed to test the conceptual model and the proposed hypotheses.

The results show that environmental concern positively influences attitude and subjective norms, which, in turn, influences food waste separation intention. Favourable situation and facility availability are found to influence the separation intention.

This study is one of the earliest studies to investigate residents’ intention to participate in food waste separation at a source that employs the expanded theory of planned behaviour with environmental concern and condition factors.

This paper aims to understand the importance of young female consumers in Asia as a market and propose strategies for retail marketers to effectively engage with them while respecting their evolving gender roles and identities.

Data are derived from self-administered questionnaires completed by Malaysian female secondary school students aged 13 to 19. Using statements about gender roles and identities, the authors first segment respondents based on their perceptions of ideal female gender roles and identities and subsequently investigate each segment’s shopping orientation.

This study identifies four segments of young female consumers based on gender identity: civic intellectuals, presentable intellectuals, career-oriented and family-oriented. While young female young consumers with higher presentable intellectual traits are more likely to go window shopping (recreational shoppers), those with higher civic intellectual traits are more inclined to look for things they wish to buy and spend less time doing so (utilitarian shoppers).

Marketers and retailers should continue to use profiling of young female customers to predict the psychological changes related to societal and economic changes. Merely focusing on females’ appearance and family responsibilities may no longer be relevant due to the evolving social order. This implication is especially critical for marketers and retailers targeting the female market.

The results of this study will have important theoretical and managerial implications for marketers and retailers interested in understanding the changing needs and beliefs among young female consumers and how these impacts their shopping orientation.

The purpose of this paper is to examine the hard and soft measures of service quality and visitors' satisfaction, which ultimately contribute to visitor loyalty to the destination, specifically in the context of the Borneo Cultural Festival (BCF) in Sibu, Sarawak (Malaysia).

The study uses a quantitative research approach with 427 valid responses from domestic and international tourists of BCF and employs the cognitive-affective-conative theory to examine how the festival impacts visitor loyalty.

The findings indicate that both hard and soft measures significantly contribute to the service quality and visitor satisfaction at the BCF. Additionally, service quality and visitor satisfaction were found to positively influence destination loyalty, while the relationship between legibility and visitor satisfaction was not significant.

The findings encourage the ministry and event organisers to adopt a destination event strategy that positions Sibu as an attractive event destination capable of attracting domestic and international tourists.

The findings of this study contribute to the existing body of knowledge on event tourism and destination loyalty by applying the cognitive-affective-conative theory. This study marks the first of its kind, analysing both the tangible (hard) and intangible (soft) measures of service quality and their impact on visitor satisfaction, ultimately influencing visitor loyalty to the destination, particularly in the context of the BCF in Sibu, Sarawak.

Besides designing a comprehensive building maintainability scoring system, this paper aims to develop a standard and reliable method for acquisition of tacit knowledge in facility management (FM) and convert the same into organizational records so that the current dearth of information and poor feedback leading to recurrent defects and arbitrary FM strategies can be eliminated.

Nine major building elements in terms of maintainability were compared by analytic hierarchy process (AHP). Various aspects of consistency checking and group decision making were reviewed to find the best suitable method. During data collection via an AHP questionnaire in face‐to‐face interviews, logical reasoning employed by experts was noted and later matched with the subjective data.

It was observed that technical viability of services and business profile given by building height and location, respectively, set different priorities for major building elements. HVAC system is the prime element followed by elevator and façade. Such priorities can be derived from consistent judgment which improves steadily with a decision‐maker's work experience. A threshold of 10 per cent consistency and aggregating individual priorities (AIP) using geometric mean method of AHP were found most appropriate.

Adaptation of this framework will help industry experts to document their tacit knowledge in a structured manner without facing present constraints. By tracking the recorded facts and logical reasoning, neophytes can learn the multi‐faceted aspects of FM without trial and error.

This research establishes AHP as a standard and reliable method for knowledge acquisition and thus elevates its status from a multi‐criteria decision analysis tool to decision enhancement tool.

Construction safety is heavily affected by using new technologies in this growing trend of technology adoption. Especially, safety performance is enhanced through the utilization of some effective technologies such as artificial intelligence, virtual reality, BIM and wearable devices. Therefore, the main purpose of this study is to investigate the influence of emerging technologies on construction safety performance and quantify the relationship between those. The proposed components of emerging technologies are BIM, GIS, VR, RFID, AI, ML, eye tracking and serious games and wearable devices, whereas the dimensions of construction safety performance are safety planning, safety training, safety inspection and monitoring, safety audits and reviews and safety leadership.

A structural model was composed consisting of emerging technologies and safety performance indicators. Then, a questionnaire was designed and administered to construction professionals, and data from 167 projects were analyzed using structural equation modeling. The data were analyzed by using software, called SPSS AMOS.

The analysis of the structural model proves that there is a positive and significant relationship between emerging technologies and construction safety performance. Moreover, the factor loadings for each factor were found to be high indicating a good representation of the construct by the components developed. Among the technologies, BIM, robotics and automation, AI and wearable devices were detected to be the most significant technologies in terms of impacting safety performance.

The study contributes to the body of knowledge in that it develops a conceptual framework consisting of specific technologies in terms of emerging technologies, reveals the impact of such technologies on safety performance and proposes several tools and strategies for enabling effective safety management along the project lifecycle. Industry practitioners may benefit from the framework developed by adopting such technologies to enhance their safety performance on construction projects.