Search results

Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior of E-payment systems that employ smart card technology becomes a research area that is of particular value and interest to both IS researchers and professionals. However, research interest focuses mostly on why a smart card-based E-payment system results in a failure or how the system could have grown into a success. This signals the fact that researchers have not had much opportunity to critically review a smart card-based E-payment system that has gained wide support and overcome the hurdle of critical mass adoption. The Octopus in Hong Kong has provided a rare opportunity for investigating smart card-based E-payment system because of its unprecedented success. This research seeks to thoroughly analyze the Octopus from technology adoption behavior perspectives.

Cultural impacts on adoption behavior are one of the key areas that this research posits to investigate. Since the present research is conducted in Hong Kong where a majority of population is Chinese ethnicity and yet is westernized in a number of aspects, assuming that users in Hong Kong are characterized by eastern or western culture is less useful. Explicit cultural characteristics at individual level are tapped into here instead of applying generalization of cultural beliefs to users to more accurately reflect cultural bias. In this vein, the technology acceptance model (TAM) is adapted, extended, and tested for its applicability cross-culturally in Hong Kong on the Octopus. Four cultural dimensions developed by Hofstede are included in this study, namely uncertainty avoidance, masculinity, individualism, and Confucian Dynamism (long-term orientation), to explore their influence on usage behavior through the mediation of perceived usefulness.

TAM is also integrated with the innovation diffusion theory (IDT) to borrow two constructs in relation to innovative characteristics, namely relative advantage and compatibility, in order to enhance the explanatory power of the proposed research model. Besides, the normative accountability of the research model is strengthened by embracing two social influences, namely subjective norm and image. As the last antecedent to perceived usefulness, prior experience serves to bring in the time variation factor to allow level of prior experience to exert both direct and moderating effects on perceived usefulness.

The resulting research model is analyzed by partial least squares (PLS)-based Structural Equation Modeling (SEM) approach. The research findings reveal that all cultural dimensions demonstrate direct effect on perceived usefulness though the influence of uncertainty avoidance is found marginally significant. Other constructs on innovative characteristics and social influences are validated to be significant as hypothesized. Prior experience does indeed significantly moderate the two influences that perceived usefulness receives from relative advantage and compatibility, respectively. The research model has demonstrated convincing explanatory power and so may be employed for further studies in other contexts. In particular, cultural effects play a key role in contributing to the uniqueness of the model, enabling it to be an effective tool to help critically understand increasingly internationalized IS system development and implementation efforts. This research also suggests several practical implications in view of the findings that could better inform managerial decisions for designing, implementing, or promoting smart card-based E-payment system.

Workers in the United States who lose their job may benefit from temporary assistance programs and may apply for Disability Insurance (DI) and Supplemental Security Income (SSI). We measure whether participation in four temporary assistance programs (Temporary Assistance for Needy Families (TANF), Supplemental Nutrition Assistance Program (SNAP), Unemployment Insurance (UI), and Temporary Disability Insurance programs (TDI)) influence application for DI, SSI, and re-employment. We instrument temporary assistance participation using variation in policies across states and over time. Results from our instrumental variables models suggest that increased access to UI benefits reduces applications for DI. This result is robust to different sensitivity checks. We also find less robust evidence that UI participation increases the probability of return to work and reduces the probability of claiming SSI benefits. In contrast, some of our results suggest a positive effect of SNAP participation on claiming SSI.

Globalization should provide firms with an opportunity to leverage their know-how and reputation across countries to create value. However, it remains challenging for them to actually capture that value using traditional Intellectual Property (IP) tools. In this paper, we document the strong growth in patents, trademarks, and industrial designs used by firms to protect their IP globally. We then show that IP protection remains fragmented; the quality of IP applications might be questionable; and developing a comprehensive IP footprint worldwide is very costly. Growing numbers of applications are causing backlogs and delays in numerous Patent and Trademarks Offices and litigation over IP rights is expensive, with an uncertain outcome. Moreover, local governments can succeed in transferring value to local firms and influencing global market positions by using IP laws and other regulations. In essence, the analysis shows a global IP environment that leaves much to be desired. Despite these challenges, there are successful strategies to capture value from know-how and reputation by leveraging an array of IP tools. These strategies have important implications for management practice, as we discuss in our concluding section. Global companies will need to organize cross-functional value capture teams focused on appropriating value from their know-how and reputation by combining different institutional, market, and nonmarket tools, depending on the institutional and business environment in a particular region.

In the global context, artificial intelligence (AI) technology and environmental, social and governance (ESG) have emerged as central drivers facilitating corporate transformation and the business model revolution. This paper aims to investigate whether and how the application of AI enhances the ESG performance of enterprises.

This study uses panel data from Chinese A-share listed companies spanning the period from 2012 to 2022. Through a multivariate regression analysis, it examines the impact of AI on the ESG performance of enterprises.

The findings suggest that the application of AI in enterprises has a positive impact on ESG performance. Internal control systems within the organization and external information environments act as mediators in the relationship between AI and corporate ESG performance. Furthermore, corporate compliance plays a moderating role in the connection between AI and corporate ESG performance.

This paper underscores the pivotal role played by AI in enhancing corporate ESG performance. It explores the pathways to improving corporate ESG behavior from the perspectives of internal control and information environments. This discussion holds significant implications for advancing the application of AI in enterprises and enhancing their sustainable governance capabilities.

An important precondition for resource redeployment is that firms are aware of the commercial applications for which their resources can be used. We take an inventing-firm perspective and ask: how many new commercial applications will a firm associate with an existing technological invention? We note that both technological and organizational characteristics determine the number of distinct applications firms consider feasible for a given technological invention. In particular, we suggest that inherently fungible technologies, that is, technologies that have a broad impact on other technological fields (highly general technologies), will be associated with a larger set of commercial applications. We also suggest that linking applications to an inherently general technology can be challenging when the technology is already embedded in organizational (commercial) routines. Proprietary data from an online marketplace allow us to investigate the applications firms consider feasible for their technological inventions. In line with extant work, a firm assigns a greater number of applications to more general technologies. As expected, however, this relationship is shaped by how the technology is embedded within the organization. Our results have implications for redeployment as firms may face challenges in the initial step of redeployment when fungible resources need to be linked to emerging market opportunities.

This study aims to analyze the effects of performance expectancy, effort expectancy, social influence and facilitating conditions on the behavioral intention of using mobile health applications, especially during and after the COVID-19 pandemic.

A survey was developed using an online survey platform and distributed to Indonesian consumers for three weeks, and 149 usable responses were obtained. The principal component analysis, linear regression and analysis of variance tests were performed to test the validity and reliability of the measurement model and the hypothesized relationships among constructs.

Surprisingly, unlike previous studies on IT adoption, the findings show that social influence has no significant impact on behavioral intention. Facilitating conditions have a very weak to almost no significant impact on behavioral intention to use mobile health applications.

This research is conducted during pandemic COVID-19 where using mobile health apps is a must. In the future this research can be expanded as comparison study after the pandemic COVID-19 stated.

The result implies that digital technologies adoption intention is strongly affected by performance expectancy and effort expectancy, with performance expectancy as the most significant predictor. Nonetheless, the interaction of performance expectancy, effort expectancy, social influence and facilitating conditions influences behavioral intention significantly. Therefore, social influence and facilitating conditions are still important even with very insignificant effects.

To improve consumers’ behavioral intention to use mobile health applications, application providers should promote mobile health applications as useful telemedicine tools by primarily focusing on the application performance and usage experience.

This Chapter is all about communication and the ways we are now able to reach out to others around the world from our personal computers or mobile devices, which were never available before. One might initially consider this section more in line with productivity tools instead of those impacting the digital humanities. I will, however, demonstrate that it is through these tools that the field is expanding, offering interesting ways in which scholars can communicate ideas with one another, share thoughts, research, and collaborate. Additionally, it is through the use of these tools that our ideas are being shared with students and interestingly how students are, in turn, reciprocating our efforts. The chapter focuses on video broadcasting tools, audio conferencing, audiocasting, and collaboration applications, offering examples of how they can be used in a classroom setting.

The development of information technologies and the increase in the number of new generation of technology-based consumers lead to significant changes in the promotion and positioning strategies implemented in consumer markets. Applications such as Augmented Reality (AR) have become widespread in promotion activities.

In this study, the authors aimed to determine whether there was a difference between customers’ brand trust and purchase intentions regarding real experiences of the consumers at the store, experiences about AR applications, and traditional advertisements.

Results show that AR applications differ in terms of brand trust and purchasing intention according to traditional advertisements, and the attitudes of consumers toward brand trust and purchase intention in AR applications are more favorable than traditional advertisements. In the light of the results of the study, various strategy proposals were presented to researchers and marketing practitioners.

Information and communications technology (ICT) offers enormous opportunities for individuals, businesses and society. The application of ICT is equally important to economic and non-economic activities. Researchers have increasingly focused on the adoption and use of ICT by small and medium enterprises (SMEs) as the economic development of a country is largely dependent on them. Following the success of ICT utilisation in SMEs in developed countries, many developing countries are looking to utilise the potential of the technology to develop SMEs. Past studies have shown that the contribution of ICT to the performance of SMEs is not clear and certain. Thus, it is crucial to determine the effectiveness of ICT in generating firm performance since this has implications for SMEs’ expenditure on the technology. This research examines the diffusion of ICT among SMEs with respect to the typical stages from innovation adoption to post-adoption, by analysing the actual usage of ICT and value creation. The mediating effects of integration and utilisation on SME performance are also studied. Grounded in the innovation diffusion literature, institutional theory and resource-based theory, this study has developed a comprehensive integrated research model focused on the research objectives. Following a positivist research paradigm, this study employs a mixed-method research approach. A preliminary conceptual framework is developed through an extensive literature review and is refined by results from an in-depth field study. During the field study, a total of 11 SME owners or decision-makers were interviewed. The recorded interviews were transcribed and analysed using NVivo 10 to refine the model to develop the research hypotheses. The final research model is composed of 30 first-order and five higher-order constructs which involve both reflective and formative measures. Partial least squares-based structural equation modelling (PLS-SEM) is employed to test the theoretical model with a cross-sectional data set of 282 SMEs in Bangladesh. Survey data were collected using a structured questionnaire issued to SMEs selected by applying a stratified random sampling technique. The structural equation modelling utilises a two-step procedure of data analysis. Prior to estimating the structural model, the measurement model is examined for construct validity of the study variables (i.e. convergent and discriminant validity).

The estimates show cognitive evaluation as an important antecedent for expectation which is shaped primarily by the entrepreneurs’ beliefs (perception) and also influenced by the owners’ innovativeness and culture. Culture further influences expectation. The study finds that facilitating condition, environmental pressure and country readiness are important antecedents of expectation and ICT use. The results also reveal that integration and the degree of ICT utilisation significantly affect SMEs’ performance. Surprisingly, the findings do not reveal any significant impact of ICT usage on performance which apparently suggests the possibility of the ICT productivity paradox. However, the analysis finally proves the non-existence of the paradox by demonstrating the mediating role of ICT integration and degree of utilisation explain the influence of information technology (IT) usage on firm performance which is consistent with the resource-based theory. The results suggest that the use of ICT can enhance SMEs’ performance if the technology is integrated and properly utilised. SME owners or managers, interested stakeholders and policy makers may follow the study’s outcomes and focus on ICT integration and degree of utilisation with a view to attaining superior organisational performance.

This study urges concerned business enterprises and government to look at the environmental and cultural factors with a view to achieving ICT usage success in terms of enhanced firm performance. In particular, improving organisational practices and procedures by eliminating the traditional power distance inside organisations and implementing necessary rules and regulations are important actions for managing environmental and cultural uncertainties. The application of a Bengali user interface may help to ensure the productivity of ICT use by SMEs in Bangladesh. Establishing a favourable national technology infrastructure and legal environment may contribute positively to improving the overall situation. This study also suggests some changes and modifications in the country’s existing policies and strategies. The government and policy makers should undertake mass promotional programs to disseminate information about the various uses of computers and their contribution in developing better organisational performance. Organising specialised training programs for SME capacity building may succeed in attaining the motivation for SMEs to use ICT. Ensuring easy access to the technology by providing loans, grants and subsidies is important. Various stakeholders, partners and related organisations should come forward to support government policies and priorities in order to ensure the productive use of ICT among SMEs which finally will help to foster Bangladesh’s economic development.