Narrow Results

This paper extends previous studies on how Micro Small Medium Enterprises (MSMEs) in Brunei Darussalam are adopting Industry 4.0 (IR4.0) technologies. In this study, we examined how two categories of IR4.0 adoption which are the Modest category and the Moderate category as mediating effects and how they can influence firm performance. A questionnaire-based survey was conducted to collect data from 201 owners or managers from MSMEs. The mediating effect is examined using Smart Partial Least Square– Structural Equation Modelling (Smart PLS-SEM) to test the hypotheses. The results indicate the Modest category has no mediation effect on the firm performance while the Moderate category has a mediating effect between business financial planning and firm performance, and cost and firm performance. It also shows that between the Modest and Moderate categories, the Modest category seems to be reluctant in expanding its potential in the use of technologies due to some reasons for example knowledge, skills or financial resources. However, this research is only limited to MSMEs, it is suggested to conduct a comparison study between MSMEs and large businesses in Brunei Darussalam or an international-based study. The study between Micro, Small Enterprises (MSEs) and Medium Enterprises (MEs) will help to widen the insight into this area of study. These findings can benefit the business owners, technology experts and policymakers responsible for assisting MSMEs in adopting IR4.0 technologies.

Currently, value creation is considered as a major part of strategic planning and a source of competitive advantage. Competition increases and customers ask for higher service level, but resources are always limited. Small and medium enterprises (SMEs) often face the enlarged requirements of rapid changes created by the modern economic tendencies. Therefore, businesses should react promptly and without spending excessive resources (otherwise SMEs may simply stop existing). On this issue, imitation modeling tools give a considerable advantage to SMEs: almost any decisions of strategic or operational management levels can be tested before implementing real business processes. The research question arises at the point of defining the conceptual framework for testing, adopting and implementing new practices (such as digital technologies and projects) with imitation modeling tools. Currently, business excellence often depends on how and at what extent digital solutions transform the traditional way of managing operations. This study is focused on considering many factors influencing logistics business processes in SMEs. The adjusted three-zone model is suggested for achieving operational excellence in industrial SMEs with imitation modeling tools. The suggested approach is based upon the triple bottom line concept, and creates value from several perspectives: economic, social and environmental.

Often owner/decision-makers in closely-held small businesses are overloaded with work and can become isolated from novel information that could improve their decisions and ultimately firm performance. These decision-makers become reliant on heuristics to ease their cognitive burdens and develop a strong bias for the status-quo. Research suggests that external counsel and/or informal advisors may help to encourage more thoughtful consideration of situations, thus exposing or alleviating status-quo bias. This paper contributes to the understanding of decision making in small firms by examining relationships between industry association membership and the willingness of decision-makers in such firms to adopt new technologies. Evidence is found suggesting that small firm owners’ access to decision-making information from business associations is related to a greater willingness to adopt new technologies. This is evidence of conscious decision-making that enables their small businesses to go beyond the status-quo.

In today's rapidly changing competitive environment, Information Technology (IT) within an organization is continuously improved, driven by the external push of technological advances and internal pull of increasing organizational needs. In order to achieve the greatest return on IT investment, the diffusion process of IT within the organization should be examined carefully. This study aims to explore the effects of organizational, social, individual, and technological characteristics on the diffusion of different information technologies within organizations, and to discover the relationship between the diffusion of these technologies and the effectiveness, efficiency, and productivity of managerial decision-making processes. Based on a thorough review of theoretical background and prior empirical studies in the area, an integrated research framework concerning the IT diffusion context has been developed and tested via a survey applied on individuals from different organizations. Findings suggest that the antecedents of the diffusion and infusion patterns vary for two major categories of information technologies.

As we have moved into the knowledge economy, many organizations have invested in knowledge management initiatives. A great deal of the focus of these initiatives has been on the technological aspects of knowledge management with many organizations implementing knowledge management systems utilizing various technologies. As these technologies have moved to common use in these organizations, there has been the opportunity to use them to manage more than pure knowledge.

The purpose of this research is to determine the extent to which knowledge management technologies are being used to manage intellectual capital. It identifies eight main groupings of knowledge management technologies that are examined in the context of the core elements of intellectual capital — human capital, customer capital and relationship capital. Based on the type of technology used, the research examines whether it is more or less likely to succeed in managing the different elements of intellectual capital. In the case of all three areas of intellectual capital we show that knowledge management technologies are used successfully.

The results of the research illustrate which technologies are more effective in managing intellectual capital taking organizational size into consideration. It adds to the growing body of knowledge by illustrating the value of knowledge management initiatives beyond the scope of the predominant perception of how knowledge management tools are used.

Organisational culture is increasingly recognised as a major facilitator or barrier to leverage intellectual assets. Early works have shown that there are various technologies that support knowledge management (KM). This research presents an empirical study designed to explore and investigate the sophisticated relationships between organisational culture and the adoption of KM technologies. According to empirical studies, organisational culture could be decomposed into five dimensions: rational, group, development, hierarchical and ethical culture. On the other hand, the application of KM technologies can be categorised into five major categories: creation, storage/retrieval, transfer, application and platform technology. A random sample of 1000 largest companies in Taiwan was chosen as target organisations for this study. Among them, 121 completed survey responses were received, which yielding an effective response rate of 12.1%. The result of the correlation analysis indicates that storage/retrieval and platform technologies have positive relationships with all the cultures, while creation technologies are positively correlated with ethical, group and development cultures; and application technologies with development and hierarchical cultures. However, in general, organisational culture and KM technologies are weakly correlated. Moreover, though the majority of corporations started to recognise the value and importance of KM, there are only a few technologies such as database, email, intranet and Internet that were highly adopted and frequently used in KM activities. There exists a huge gap between recognising the importance of KM and enthusiastically adopting KM technologies. This study contributes to the understanding of how organisational culture affects and interacts with KM technologies and in what ways. It also demonstrates the current status of KM technology adoption in Taiwan's large corporations.

International business (IB) and management information system (MIS) literature have focused respectively on the adoption process in multinational corporations (MNCs) and on the adoption of technology in organisations. This paper investigates the process of technology adoption in MNCs and draws on the actor–network theory (ANT) in order to understand the process of technology adoption in MNCs. A case study of a French-owned subsidiary in Brazil is utilised for the conclusions. First, through data analysis, it is discovered that people established connections that differ in being either beneficial or detrimental to technology adoption. Next, it is proposed that the decision to adopt is constantly being renegotiated, whereas previous research assumes a single adoption choice for individuals and organisations. Finally, this paper shows how boundary objects may help MNCs to cope with the conflicting pressures of global integration and national responsiveness.

This research aims to evaluate the extent to which a specific set of factors affect patients’ intention to adopt and use smart health applications. These factors, derived from the unified theory of acceptance and use of technology (UTAUT), include technology anxiety (TA), perceived reliability (PR), inertia (Int) and privacy concern (PC). Data were collected from 259 participants via a cross-sectional survey. The researchers employed the partial least squares (PLS) method for data analysis using SmartPLS, a statistical tool based on structural equation modelling (SEM). The findings indicate that performance expectancy, facilitating conditions, Int and PR significantly influence patients’ intentions to adopt smart health services. However, no significant relationships were found between effort expectancy, social influence, PC, TA and the intention to adopt smart health services. This study contributes to the literature by integrating additional factors (TA, PR, Int and PC) into the UTAUT framework. Limitations of the study include the cross-sectional design, which may not capture changes over time, and the reliance on self-reported data, which may be subject to biases. Future research should consider longitudinal studies to examine the evolving nature of technology adoption and explore additional contextual factors that might influence patient intentions. This research provides practical insights for healthcare practitioners aiming to enhance the adoption of smart health applications.

For most companies a key to survival in today's competitive market is to invest in new technologies. However, for many reasons such investments are difficult to justify by traditional economic analysis alone. One reason is the challenge of including the intangible and often hard to quantify costs and benefits associated with these investments. This is particularly true for new technologies due to the fact that there exits a lower level of corporate experience regarding the potential risks associated with a new technology compared to technologies that the company is familiar with. This situation points towards the need for an evaluation tool that complements classical economic analysis techniques with additional processes that consider these risks as well. The attempt here is to develop a process to help practitioners to consider the costs due to these risks through a systematic procedure based on their risk aversion traits.

Artificial markets are an emerging form of agent-based simulation in which agents represent individual industries, firms, or consumers interacting under simulated market conditions. While artificial markets demonstrate considerable potential for advancing innovation research, the validity of the method depends on the ability of researchers to construct agents that faithfully capture the key behavior of targeted entities. To date, few such methods have been documented in the academic literature.

This article describes a novel method for combining qualitative innovation research (case studies, grounded theory, and sequence analysis) with software engineering techniques to synthesize simulation-ready theories of adoption behavior. A step-by-step example is provided from the transportation domain. The result was a theory of adoption behavior that is sufficiently precise and formal to be expressed in Unified Modeling Language (UML). The article concludes with a discussion of the limitations of the method and recommendations future applications to the study of diffusion of innovation.

In this paper, we analyze the technology adoption problem of firms when relevant information about a new technology is dispersed among them. Developing a continuous time model in which imperfectly and differently informed multiple firms determine strategically when to adopt a new technology, we show that the phenomena of an economically inefficient initial delay of adoption, a staggered adoption, and an inefficiently early mass adoption can arise in equilibrium, particularly in the form of strategic delay, informational learning, and herding behavior, respectively. We also address the incentive scheme that helps to achieve efficient collective adoption of the new technology under dispersed information and show under what conditions, if any, such an incentive scheme can work well.

Applying exploratory qualitative methodologies such as interviews and focus groups, we examine the role of IT vendors in health IT adoption in nursing homes in Texas. We identify three roles pertaining to IT vendors in various adoption stages — information sources and financiers, strategic consultants, and educators in the initiation, implementation, and the institutionalization phases, respectively. Thus, vendors could be a critical factor in the health IT adoption, but nursing home management must critically evaluate not only the services, but also the strategic partnerships offered by the vendors. This is because their business interests may not address nursing homes’ distinctive need, and may prevent integration and institutionalization of health IT. As such, this research has important implications for technology adoption by nursing facilities.

This study aims at examining factors that determine the adoption of the Industrial Internet of Things (IIoT) by manufacturing companies applying the technology–organization–environment framework. Data of 197 German manufacturers are gathered by means of a survey questionnaire and tested using a logistic regression. This paper contributes to academic discussion by revealing determinants, which have a significant influence on the adoption of the IIoT: relative advantage associated with the IIoT, support by a company’s top management, high levels of competition, and environmental uncertainty. The study provides important implications, both for research and practitioners, related to technology management in the context of the IIoT.

Information and communication technologies (ICTs) has become a tool which cannot be ignored in terms of public administrations, which provides advantage to the administrations as far as they can be adapted. The use of ICTs become widespread in the health sector as it is in all other sectors. In hospitals, hospital information systems (HIS) are used to keep records of patients and hospitals securely, to improve appointment, in-hospital management, decision support and workflow processes. Therefore, HISs are also used to increase efficiency and productivity, to reduce error rates, to increase service quality, to reduce service costs and to realize the specific purposes such as ensuring patient satisfaction. It is necessary that the end users should adopt HISs to obtain the expected benefits and to implement HIS successfully in public hospitals. The adoption of a technology product is also a sociological phenomenon at the same time. In this regard, the issue of adoption in the relevant literature is addressed in the context of a wide variety of models and many variables. This study is also a study of technology adoption. The subject of the study is the adoption of HISs in public hospitals in Turkey. In this context. The study aimed to determine the factors affecting the adoption of HISs by the personnel working in public hospitals in Turkey, in accordance with the Unified Theory of Acceptance and Use of Technology (UTAUT) model in the literature on technology adoption. In the study, the universe of the study consisted of the personnels (physicians, nurses, health officers, medical secretaries] which were working in public hospitals in the Bursa and Balıkesir Metropolitan Municipalities at the time of the study. According to the results of the study, performance expectancy, effort expectancy and social influence variables have positive and significant effects on the behavioral intention of hospital staff for using of HISs. In addition, facilitating conditions and behavioral intention variables have a positive and significant effect on usage behavior. On the other hand, it was found that gender has a moderator effect on the relationship between performance expectancy, effort expectancy and behavioral intention. Experience has a moderator effect on the relationship between the social influence and the behavioral intention while age has a moderator effect on the relationship between facilitating conditions and use behavior.

The objective of this research is to investigate the antecedent factors involving eight variables, i.e. ease of use, trust, enjoyment, design, usefulness, quality, safety and empathy, which influence user acceptance of the intelligent travel assistant (ITA), thus they are formulated into a research model and hypothesis according to wide and deep exploration about the theories of travel and tourism. The technologies used were the VPA, IPA, AI, IoT, technology acceptance theories and related literature. The data collection used online questionnaires for the survey through social media promotion online, i.e. Facebook and Line. The data analysis was conducted with the 299 eco-tourists via the descriptive statistics, that is, percentages and standard deviations (S.D.) through the program of PASW Statistics v.18.0.0. The statistical inferential analysis has used the measurement model and the structural model through employing the program of SmartPLS v.3.2.8. Their results led to recognizing the ITA user acceptance containing firstly the external factors, which involve the ease to use, the trust, the enjoyment, and the design. Secondly, the internal factors included the usefulness, and the quality. Thirdly, the direct factor is the empathy. Finally, the results of this study could be applied for implementation and assessment of ITA in the future.

This paper examines the adoption of Smartphones in Saudi Arabia. A theoretical research model is developed based on the unified theory of acceptance and use of technology. A web-based survey has been used to gather data from randomly selected Smartphone users in Saudi Arabia. For data analysis, SEM approach was followed, SPSS and AMOS were utilized for analyzing data. The results indicate that performance expectancy, effort expectancy, brand influence, perceived enjoyment, and design constructs have a positive and significant relationship with users’ behavioral intention to adopt and use Smartphones in Saudi Arabia.

This paper highlights the role of societal-level self-expression values and national-level extent of technology adoption for individual-level likelihood of engaging in technology entrepreneurial innovation (TEI). We posit that the effect of self-expression on entrepreneurial innovation is indirect — mediated positively by national-level extent of technology adoption, thereby rendering modes and mechanisms of technology adoption in a country as a more proximal whereas values as a more distal antecedent of TEI. We infer that the benefits and effectiveness of government efforts geared towards improving formal institutional structures that assist TEI would however only be felt if those that adopt newer technologies are self-expressive in the first place. Implications for theory, policy, and future empirical research are also discussed.

This study examines university students’ perspectives on student success technology. Efforts to improve graduation and retention rates for undergraduates (i.e. “student success”) and initiatives to enhance the overall student experience are critical for higher education administrators, faculty and staff. These actors are significantly dependent on technology and technology-mediated services. To help understand student perspectives on online services related to student success, this study uses data from a 2016 survey of ABC University students about the importance and satisfaction that students placed on accomplishing key tasks online ($n=1190$ respondents). The main questions in this inquiry are: (1) What, if any, factors, or latent variables, are in the data set? (2) If there are latent variables, what might they tell us about students’ perspectives on accomplishing critical online tasks? The study’s main findings are that five factors — navigation, tactical, funding, personalization and planning - are present in the data and statistically significant. The findings also suggest that a sixth factor, funding, is not significant. This study contributes to the literature by supporting the notion that there is harmony between the technology that universities utilize to support students and the value that students derive from such tools.

The adoption of wearable devices has been proposed as a promising approach to improve the well-being of senior in Thai care services. This study aims to find the critical success factors (CSFs) in adopting wearable technology from the stakeholder perspective. We collected data from total 27 participants from three groups of stakeholders: formal caregivers, informal caregivers, and seniors. Using the grounded theory approach, we found four types of CSFs and its variety in according to devices and stakeholders’ viewpoints. Based on the findings, this paper also discusses how to develop wearable devices to satisfy stakeholder requirements and improve their wellbeing.

This study investigates the factors that affect the user’s intention to use dashcam in Malaysia. This study examines the quantitative relationship of intrinsic as well as extrinsic factors such as personal innovativeness, perceived uniqueness, perceived usefulness, perceived ease of use, attitude, perceived behavioral control, social influence, price value, and trust to the purchase intention of dashcam. Purposive sampling technique was employed to collect responses from 232 respondents based on two criteria: first, individuals who have experienced driving on the road and have a car; and second, individuals who not yet adopt or purchase the dashcam. The data were analyzed using SmartPLS (version 3.3.2). No relationship between personal innovativeness and perceived usefulness was found, in contrast to a significant relationship the former and perceived ease of use. Furthermore, perceived uniqueness was found significant to both perceived usefulness and perceived ease of use. Consistent with the literature, both perceived usefulness and perceived ease of use were identified as factors influencing attitude. However, perceived usefulness did not affect intention. Perceived behavioral control, social influence, attitude, and trust significantly affected the behavioral intention to use the dashcam in Malaysia. This study attempts to integrate and adapt two technology adoption models, namely the Combined Technology Acceptance Model and Theory Planned Behavior and extension of Unified Theory of Acceptance and Use of Technology, also extends the model with personal innovativeness, perceived uniqueness, and trust to fulfil the study’s objectives as well.