Journal of Systems and Information Technology

Publisher:: Emerald Group Publishing Limited
Publication date:: 2021-02-01

ISBN:: 1328-7265

Issue Number

Latest documents

Mobile money usage and continuance intention among micro enterprises in an emerging market – the mediating role of agent credibility
Purpose: Currently, mobile payments have become pervasive in electronic commerce and are steadily increasing in many regions worldwide. In the literature, however, its continued usage among consumers is deemed equivocal, particularly among small businesses. This study uses the unified theory of acceptance and use of technology (UTAUT) to examine mobile money continuance intention among micro enterprises in an emerging/less-developed economy. This study aims to explore the mediating role of agent credibility on this relationship, given that these agents are contingent actors between service providers and mobile money users. Design/methodology/approach: After a preliminary qualitative enquiry, quantitative data collected from 584 micro enterprises were tested from the UTAUT perspective, using structural equation modelling. Findings: Findings from the study establish the applicability of the UTAUT in explaining the antecedents, motivations and continuance intention of mobile money usage among micro enterprises. Further, beyond their direct effects, the UTAUT conditions have indirect effects on the continuance intention through their effect on perceived agent credibility. Originality/value: The findings provide evidence to issues of research and managerial interest, offering insightful implications to the academic and practitioner communities, respectively.
Effects of culture on graphical password image selection and design
Purpose: The purpose of this study is to examine the effects of culture on the cross-cultural design of the recognition-based graphical password (RBG-P) interface as inferred from Chinese and Saudi subjects’ image selections. Design/methodology/approach: The authors use a between-group design adopted using two groups of participants from China and the Kingdom of Saudi Arabia to measure the differences caused by the effects of cultures on graphical password image selections. Three hypotheses have been tested in a four-week long study carried out using two questionnaires and an RBG-P webtool designed for images selection. Findings: The results have indicated that participants are equally biased not only toward their own culture but also depending on their opinions about other cultures. In addition, when creating the password, it has been observed that culture not only influenced the image selection to create the password but also have an effect on the sequence of the images forming the password. Research limitations/implications: Appropriately used image selection differences can be used appropriately in cross-cultural designs that will lead to better development of culturally adaptive interfaces that will boost the security posture of RBG-P authentication. Practical implications: Some RBG-P interfaces that are produced outside the designer’s culture may suffer the effects of cultural differences. Hence, to incorporate culture in the interface, authentication systems within applications should be flexible by designing images that fit the culture in which the software will be used. To this end, access control interface testing should also be carried out in the environmental and cultural context in which it is will be used. Originality/value: This paper provides useful information for international developers who develop cross-cultural usable secure designs. In such environments, the cross-culturally designs may have significant effects on the acceptability and adoption adaptation of the interface to multi-cultural settings.
A multi-agent system for distributed smartphone sensing cycling in smart cities
Purpose: The purpose of this paper is to propose a distributed smartphone sensing-enabled system, which assumes an intelligent transport signaling (ITS) infrastructure that operates traffic lights in a smart city (SC). The system is able to handle priorities between groups of cyclists (crowd-cycling) and traffic when approaching traffic lights at road junctions. Design/methodology/approach: The system takes into consideration normal probability density function (PDF) and analytics computed for a certain group of cyclists (i.e. crowd-cycling). An inference model is built based on real-time spatiotemporal data of the cyclists. As the system is highly distributed – both physically (i.e. location of the cyclists) and logically (i.e. different threads), the problem is treated under the umbrella of multi-agent systems (MAS) modeling. The proposed model is experimentally evaluated by incorporating a real GPS trace data set from the SC of Melbourne, Australia. The MAS model is applied to the data set according to the quantitative and qualitative criteria adopted. Cyclists’ satisfaction (CS) is defined as a function, which measures the satisfaction of the cyclists. This is the case where the cyclists wait the least amount of time at traffic lights and move as fast as they can toward their destination. ITS system satisfaction (SS) is defined as a function that measures the satisfaction of the ITS system. This is the case where the system serves the maximum number of cyclists with the fewest transitions between the lights. Smart city satisfaction (SCS) is defined as a function that measures the overall satisfaction of the cyclists and the ITS system in the SC based on CS and SS. SCS defines three SC policies (SCP), namely, CS is maximum and SS is minimum then the SC is cyclist-friendly (SCP1), CS is average and SS is average then the SC is equally cyclist and ITS system friendly (SCP2) and CS is minimum and SS is maximum then the SC is ITS system friendly (SCP3). Findings: Results are promising toward the integration of the proposed system with contemporary SCs, as the stakeholders are able to choose between the proposed SCPs according to the SC infrastructure. More specifically, cyclist-friendly SCs can adopt SCP1, SCs that treat cyclists and ITS equally can adopt SCP2 and ITS friendly SCs can adopt SCP3. Originality/value: The proposed approach uses internet connectivity available in modern smartphones, which provide users control over the data they provide to us, to obviate the installation of additional sensing infrastructure. It extends related study by assuming an ITS system, which turns traffic lights green by considering the normal PDF and the analytics computed for a certain group of cyclists. The inference model is built based on the real-time spatiotemporal data of the cyclists. As the system is highly distributed – both physically (i.e. location of the cyclists) and logically (i.e. different threads), the system is treated under the umbrella of MAS. MAS has been used in the literature to model complex systems by incorporating intelligent agents. In this study, the authors treat agents as proxy threads running in the cloud, as they require high computation power not available to smartphones.
Impact of social experience on customer purchase decision in the social commerce context
Purpose: This study aims to examine the factor of social experience influencing an individual’s purchase decision in the social commerce (SC) environment by proposing a model developed based on the social impact theory. The proposed model consists of the number, closeness and tie strength of the influencing factor and the receiver. Design/methodology/approach: A total of 288 responses were collected from Indonesian SC users to validate the theoretical model, which consists of perceived herd behavior, peer communication, emotional support, parasocial interaction and subjective norms. This study also explores the moderating effects of gender, age, experiences and occupations on the direct effect of model variables, which affect the individual’s intention to purchase in SC. Findings: The results of this study showed that parasocial interaction is the strongest determinant of intention to purchase in SC, followed by perceived herd behavior and peer communication. However, the direct effect of subjective norms and emotional support were found insignificant in this study. For moderating effects, only gender and occupation were significant in terms of the immediate effect of peer communication, perceived herd behavior and subjective norms on intention to purchase. Originality/value: The study contributes to theory in the form of insight on immediate effect and the exploratory investigation of moderating effects. It also contributes to practice by suggesting several practical actions based on the findings designed to achieve the objective of improving customers’ intention to purchase in SC.
Factors that affect acceptance and use of information systems within the Maritime industry in developing countries. The case of Ghana
Purpose: Although information and communication technology has become a significant driver for organizational efficiency and effectiveness, there is inadequate empirical research on technology acceptance in the maritime industry especially in developing countries. Literature on how behavior and attitude influence technology acceptance is non-existent. This study therefore aims to augment existing literature on technology acceptance in developing countries with particular emphasis on the maritime industry. Design/methodology/approach: The study extended the unified theory of acceptance and use of technology (UTAUT) model to investigate the factors that affect the acceptance and use of INTTRA: a multi-carrier booking and shipping system designed to facilitate ocean trade worldwide. Responses from 198 subjects, collected through a questionnaire, were analyzed using partial least square structural equation modeling. Findings: The research model confirmed significant influences of performance expectancy, facilitating conditions, anxiety and attitude towards use on users’ intention to use INTTRA. In contrast, social influence, effort expectancy and self-efficacy did not significantly influence intention to use. Although these findings confirm some proposed relationships in the UTAUT model, it contradicted the cultural dimension argument that developing countries with higher degrees of femininity pay less attention to performance and high attention to social influence. Research limitations/implications: The study contributes to knowledge in the area of information systems and technology acceptance in developing countries. Particularly, it seeks to expand literature on adoption within the maritime industry. The study is limited to the sample used for the study, as it used participants from only one country. However, the findings are not generalized for the entire maritime industry but rather Ghana. Originality/value: The originality of the study is derived from the provision of literature on adoption within the maritime industry in developing countries. It also provided evidence that challenges existing knowledge on characteristics of countries that exhibits high level of femininity culture as proposed by Hofstede.
Tax compliance as a driver for adopting information technologies – effect on competencies development and on competitive advantages
Purpose: The adoption of information systems (IS) by small- and medium-sized enterprises (SME) leads to the acquisition of new competencies and relative advantages. In some cases, the decision to adopt IS results from legal obligations that companies must comply with. This paper aims to assess the effect of the mandatory digital transmission of documents to the tax and customs authority on the decision to adopt IS by SMEs. Design/methodology/approach: The authors propose a research model to analyze the antecedents of IS adoption and the relationship between that adoption and the development of new competencies and the consequent relative advantages. Based on the data from 94 European SMEs, this paper tests the research model with a partial least squares approach. Findings: The findings show that companies decide to adopt IS due to their obligations for tax compliance. However, while some companies decide to adopt basic IS just to comply with the transmission of documents, others decided to implement more complex systems to satisfy wider company needs. Research limitations/implications: Due to time constraints, the characteristics of the respondents such as their sector of activity, the sensitivity of companies and entrepreneurs to IS, their geographic distribution or years of activity were not studied. As mentioned above it is important to investigate further the characteristics of the companies and their differentiation factors between those who only invest to reduce costs and those that see IS as a differentiating factor. This factor could be a source of information to study the company and its environment that is very useful in increasingly competitive markets. Practical implications: This study is important because it shows managers the possible ways of thinking that can guide their investment decisions and whether these will lead them to face future challenges. Originality/value: For researchers, this paper shows how a change in the law may have an effect on decisions to adopt technology and how existing theories can be applied to study the effects of changes in the law.
Factors affecting the adoption of cloud of things. The case study of Indian small and medium enterprises
Purpose: The purpose of this study is to determine the significant factors affecting the adoption of Cloud of Things (CoT) by Indian small and medium-sized enterprises, using exploratory and confirmatory factor analysis. Design/methodology/approach: Significant factors that impact CoT implementation were identified through a detailed literature survey. A conceptual framework and hypotheses were proposed for linking the significant factors so identified, namely, cost saving, relative advantage, sharing and collaboration, reliability, security and privacy, technical issues and adoption intention. The data were collected from 270 Indian SMEs using an online survey. Structural equation modelling (SEM) was used to test the proposed model. Findings: It was observed that factors such as “sharing and collaboration”, “cost saving” and “relative advantage” had a positive influence on CoT adoption. Findings of the study also supported the hypothesis that “security and privacy” were the prime concerns for CoT adoption. Research limitations/implications: Sample coverage across different geographical areas with qualitative data can be helpful. The SEM methodology is only capable of verifying linear relationships; to counter this, a hybrid approach with tools such as artificial neural network and multiple linear regression can be used. Practical implications: This study intends to guide the managers of SMEs, cloud service providers and regulatory organisations for formulating an effective strategy to adopt CoT. It may be noted that CoT is the prime building block of Industry 4.0 and SMEs will benefit from government support for the same. Originality/value: This paper highlights the influence of factors on the adoption intention of CoT with a focus on the SMEs of a developing country like India.
A two-stage structural equation modeling-neural network approach for understanding and predicting the determinants of m-government service adoption
Purpose: Despite the widespread use of mobile government (m-government) services in developed countries, the adoption and acceptance of m-government services among citizens in developing countries is relatively low. The purpose of this study is to explore the most critical determinants of acceptance and use of m-government services in a developing country context. Design/methodology/approach: The unified theory of acceptance and use of technology (UTAUT) extended with perceived mobility and mobile communication services (MCS) was used as the theoretical framework. Data was collected from 216 m-government users across Bangladesh and analyzed in two stages. First, structural equation modeling (SEM) was used to identify significant determinants affecting users' acceptance of m-government services. In the second stage, a neural network model was used to validate SEM results and determine the relative importance of the determinants of acceptance of m-government services. Findings: The results show that facilitating conditions and performance expectancy are the two important precedents of behavioral intention to use m-government services, and performance expectancy mediates the relationship between MCS, mobility and the intention to use m-government services. Research limitations/implications: Academically, this study extended and validated the underlying concept of UTAUT to capture the adoption behavior of individuals in a different cultural context. In particular, MCS might be the most critical antecedent towards mobile application studies. From a practical perspective, this study may provide valuable guidelines to government policymakers and system developers towards the development and effective implementation of m-government systems. Originality/value: This study has contributed to the existing, but limited, literature on m-government service adoption in the context of a developing country. The predictive modeling approach is an innovative approach in the field of technology adoption.
How knowledge sharing leads to innovative work behaviour. A moderating role of transformational leadership
Purpose: Studies have examined the influence of knowledge-sharing factors on attitudes and intentions to share knowledge; thus, there is a need to add to the limited research to examine individuals’ actual knowledge-sharing behaviour (KSB). Drawing upon the social cognitive theory (SCT) and transformational leadership, this study aims to develop a new research model which modifies the standard SCT model and augments it with other theories to examine academics’ KSBs. Design/methodology/approach: Questionnaire surveys based on literature and pilot study were conducted with 785 academic staff from four Vietnamese public universities. This study applied structural equation modelling to test the proposed research model and hypotheses. Findings: The findings show that environmental factors (subjective norms, trust) and personal factors (knowledge self-efficacy, enjoyment in helping others) had positive impacts on KSB; KSB had a strongly positive effect on innovative behaviour; and transformational leadership positively moderated the effects of subjective norms, trust and knowledge self-efficacy on KSB. Interestingly, psychological ownership of knowledge was found to have insignificant associations with KSB. Practical implications: The study findings can be used by university leaders, academic staff and researchers in other similar contexts. Originality/value: Until now, to the best of the researchers’ knowledge, no studies have applied SCT as a primary lens, in which transformational leadership positioned in a focal behaviour also affected KSB, to investigate research on KSB in organisations, especially in institutions of higher education.
Improving the design of a recommendation system using evaluation criteria and metrics as a guide
Purpose: The roles recommendation systems play in health care have become crucial in achieving effective care and in meeting the needs of modern care giving. As a result, efforts have been geared toward using recommendation systems in the management of chronic diseases. Effectiveness of these systems is determined by evaluation following implementation and before deployment, using certain metrics and criteria. The purpose of this study is to ascertain whether consideration of criteria during the design of a recommendation system can increase acceptance and usefulness of the recommendation system. Design/methodology/approach: Using survey-style requirements gathering method, the specific health and technology needs of people living with chronic diseases were gathered. The result was analyzed using quantitative method. Sets of harmonized criteria and metrics were used along with requirements gathered from stakeholders to establish relationship among the criteria and the requirements. A matching matrix was used to isolate requirements for prioritization. These requirements were used in the design of a mobile app. Findings: Matching criteria against requirements highlights three possible matches, namely, exact, inferential and zero matches. In any of these matches, no requirement was discarded. This allows priority features of the system to be isolated and accorded high priority during the design. This study highlights the possibility of increasing the acceptance rate and usefulness of a recommendation system by using metrics and criteria as a guide during the design process of recommendation systems in health care. This approach was applied in the design of a mobile app called Recommendations Sharing Community for Aged and Chronically Ill People. The result has shown that with this method, it is possible to increase acceptance rate, robustness and usefulness of the product. Research limitations/implications: Inability to know the evaluation criteria beforehand, inability to do functional analysis of requirements, lack of well-defined requirements and often poor cooperation from people living with chronic diseases during requirements gathering for fear of stigmatization, confidentiality and privacy breaches are possible limitations to this study. Practical implications: The result has shown that with this method, it is possible to isolate more important features of the system and use them during the design process, thereby speeding up the design and increasing acceptance rate, robustness and usefulness of the system. It also helps to see in advance the likely features of the system that will enhance its usefulness and acceptance, thereby increasing the confidence of the developers in their ability to deliver a system that will meet users’ needs. As a result, developers know beforehand where to concentrate their efforts during system development to ascertain the possibility of increasing usefulness and acceptance rate of a recommendation system. In addition, it will also save time and cost. Originality/value: This paper demonstrates originality by highlighting and testing the possibility of using evaluation criteria and metrics during the design of a recommender system with a view to increasing acceptance and enhancing usefulness. It also shows the possibility of using the metrics and criteria in system’s development process for an exercise other than evaluation.