Electronic Journal of Information Systems in Developing Countries最新文献

Digital transformation (DT) is a crucial strategic initiative for organizations to rectify output, adapt, and keep up with the digital economy. Dynamic capability (DC) is a widely-used model for managing opportunities and risks from digital transformation. However, there is a lack of research examining the measurement and relationship between the primary activities of dynamic capability and DT, especially within the banking sector. Acknowledging the importance of DC, we propose this research which emphasizes the significance of sensing, seizing, and transforming aptitudes in promoting DT and improving banking performance. Within this study, we specifically investigate the role of governance, risk management, and compliance (GRC) factors. By utilizing structured equation modeling (SEM) and analyzing data from 322 respondents representing 45 banks in Indonesia, our empirical findings demonstrate that all three DC activities have a significant influence on DT, in which sensing activity has the biggest impact, followed by transforming and seizing. Furthermore, we reveal that DT acts as an intermediary between DC activities and banking performance, and GRC factors further enhance the impact of DT on organizational performance. Our research offers valuable insights to assist banks in prioritizing essential capabilities, including GRC, to enhance overall performance through dynamic digital transformation capabilities.

Open government data (OGD) include the provision of government data, which have so far been reserved for the provision of public utilities and services, wherein different stakeholders may create value out of the same source. Recently, OGD initiatives around the world have dampened or were found to be inadequate for one or other reasons. The present study seeks to underline the root causes behind these inadequate or stalled initiatives with a specific focus on the developing countries. This article undertakes a literature review of the most significant studies in this area, followed by a root cause analysis wherein the database across Scopus and Web of Science has been explored with the set inclusion and exclusion criteria being set in line with the research focusing on the hinderances and bottlenecks behind the failure of OGD initiatives (n ~ 15), thus not only summarizing what has been revealed in previous studies but also identifying these “root-cause” relationships, which are responsible for the stalled OGD projects. A deep understanding of the literature on OGD shows that research of OGD barriers repeat each other. The results show that the main root causes include politico-administrative, social, technological, legal and organizational (inter- and intra) dimensions including aspects like state of the economy, infrastructural issues, the tendency to copy the OGD initiative without need to institutionalize the same, and so forth. Whereas a number of studies are available covering the barriers in the roll-out and implementation of OGD initiatives, the root causes behind the existence of these barriers have not been identified so far-the present study seeks to plug this gap. Besides being a contribution to the extant OGD literature in general, the study seeks to leave academic and practical implications for furthering up deliberations and discussions on the OGD themes with specific impetus upon the cause analysis of the failure in OGD initiatives and the manner in which the same may be corrected or preempted.

Open government data (OGD) and information and communication technologies (ICT) are potential enablers in meeting information needs related to finding employment opportunities, but there is little evidence-based theorization to guide this enablement and avoid the barriers that hinder its use. The potential economic contribution of OGD has been researched in depth, but the potential of OGD for human development, specifically in developing countries, has not been theorized substantially. Therefore, this study aimed to investigate “how the role of ICT and OGD in meeting the employment-related information needs of unemployed South African youth can be understood better by the application of the Choice Framework”. The Choice Framework is Kleine's analytical tool for investigating ICTs for development toward a contextualized understanding of the relationships among the framework's elements, namely structure, agency, the dimension of choice and development outcomes. The research design was a single, exploratory case study; the data was collected in Alexandra Township of the Gauteng Province in South Africa using semi-structured interviews. Data was collected from 34 participants (between the ages of 18 and 35) who were looking for employment. The data was analyzed thematically and then unpacked in terms of the constructors of the Choice Framework. The findings show that most participants had access to ICT but limited awareness of OGD, and several challenges in using OGD for finding employment-related information were identified. The findings provide a theory-based contextual understanding of the research space, including the challenges and recommendations for overcoming said challenges of finding information on employment opportunities.

This study examined how data governance practices in multi-agency organizations manifest while trying to solve a wicked problem. This study adopted the data governance framework to analyze the Working Group that is responsible for opium addiction and treatment projects in Thailand. This framework comprises five decision domains of data: data principles, data quality, metadata, data access, and data lifecycle. The results showed that the Working Group did not have strong data principles among the relevant agencies and faced local obstacles. This led to uncertainty in the other four areas. It demonstrated, however, some effective outcomes by improvising its specific approach, which considers the relationships between various stakeholders in their dynamic adaptations within the overall data governance process. The Working Group practiced localized framework strategies, which consisted of eight approaches: data consensus in the knowledge network, strong structure, information integrity and cultural awareness, flexibility of organizational integration, dynamic adjustment process, effective information sharing, unlocking stagnations, and data governance cycles. All these strategic approaches compensated for the low performance of the current universal data governance framework.

There is a consensus in the information systems (IS) discipline that conflicting views among those implementing IS could result in critical implementation challenges. Prior studies on implementing smartphone-based disease surveillance systems highlight the emergence of diverse perceptions of the system among stakeholder groups. It is argued that these various perceptions play a role in achieving the project's objectives, particularly when there is a strong incongruence. This study examines key stakeholders' interpretations of a smartphone-based acute flaccid paralysis (AFP) surveillance system and how these interpretations have influenced the resulting outcomes. We adopt a qualitative interpretive case study method with theoretical underpinnings of technological frames (TF). The findings were drawn from observations, and semi-structured interviews with project managers (PMs), community health workers (CHWs), informants (CHIs), and disease surveillance and notification officers (DSNOs) in Kano and Adamawa states northern Nigeria. Our findings reveal that training, implementation context, and technical infrastructure use socially shape the smartphone-based AFP surveillance project. The results also illustrated how TF evolve. We present a model that explains the relationship between these factors and recommendations to manage conflicting views among stakeholder groups.

Service-dominant logic viewpoints can be used to construct a model of value co-creation in the service ecosystem by focusing on service provider-beneficiary dyads and inter-dyad interactions. However, the presence of institutional voids can hamper firm performance, even with an improved service ecosystem and value co-creation. This study aimed to investigate the relationship between the service ecosystem of IT small and medium enterprises of Bangladesh and their firm performance through the mediation of value co-creation and moderated mediation of institutional void. This study indicated that the service ecosystem positively impacts firm performance and value co-creation. Additionally, the findings indicated that co-creation within the service ecosystem leads to improved firm performance. However, the study also found that institutional void can have a significant moderating effect. This research makes a valuable contribution to the literature on service ecosystem and firm performance by examining the role of value co-creation as a mediator.

The business practices such as supply chains have been transformed significantly due to technological advancement and digitalization. It helps enhance organizational efficiency in consumption, production, and overall operation. Additionally, big data within the supply chain management process has considerably assisted businesses in gathering accurate product information, easily tracing a product, maintaining track of distribution cycles and delivering goods as quickly as possible. The research investigates the impact of the circular supply chain (CSC) and big data implementation on firm performance, specifically in the Pakistan Manufacturing Sector. Further, it has investigated digital technologies' mediating role in the firm's performance in the Pakistan manufacturing sector. The research was conducted using quantitative data from the questionnaire survey from 400 participants (i.e., firm managers) working in the Pakistan manufacturing sector. The data were analyzed using the structural equation modeling comprising confirmatory factor analysis and path analysis using SmartPLS. Findings show a negative and significant influence of CSC practices on firm performance in the manufacturing sector of Pakistan. On the contrary, big data implementation positively and significantly impacts the firms' performance. Further, the mediating role of digital technology over firm performance through CSC practices and big data implementation was also found to be positive and significant. The research has contributed to the present state of literature in different ways. First, the research presented the mediating role of digital technologies in the relationship between CSC and big data implementation and firm performance.

Research on the “dark side” of information technology (IT) is becoming diffused in the information systems (IS) field. Focused on the negative consequences of IT on individuals, organizations and the society, such a literature has, however, neglected the contribution of ICT4D research to the debate. This paper draws on two streams of research—respectively, on digital identity systems for social protection and biometric humanitarianism—to highlight the limits of the notion of a “dark side” of IT. Using a design justice lens, it illuminates how adverse features can be purposefully designed into technology, directly producing the detrimental outcomes that cause harm on its users. Through this perspective, the notion of a “dark side” of IT is contrasted with that of a “dark matter” pointing to the substantial, rather than accidental, nature of harm generated through IT. Implications are drawn for IS research, highlighting how existing works from the ICT4D field support the “dark matter” thesis.

Recognizing the significance of data for policy change to improve population health, many developing countries and Health Partners have invested for decades in Health Management Information System (HMIS). Despite huge investments in technologies and capacity building to support the management of routine health data, there is still a problem in trying to make substantial improvements on gains made so far. A number of researchers have reported on lack of motivation, ownership, data use and work overload as some of the reasons explaining the persistent problem with routine health data quality. However not much has been reported on how legitimacy seekers and providers negotiate for the legitimacy of data quality management practices. We drew on this gap to explore how gaps are negotiated between the legitimacy seekers and the legitimacy providers when seeking legitimacy of data quality management practices in HMIS at micro level. Using institutional theory pillars: institutionalization and legitimation, we framed our qualitative study in soft systems methodology (SSM). We collected data using observations, semi-structured interviews, and study of artifacts to answer our question based on the Malawi's District Health Information System (DHIS2) use case. Our findings revealed three factors shaping the gap negotiation: coercive approach, technical support and social relationship and moral judgment. The paper's contribution is two-fold, (a) from a practical perspective we identify the pertinent context issues that come into play when negotiating a gap between the data cadres and the managers (from the Ministry of Health and partners) in the course of seeking legitimacy of data quality management practices; (b) theoretically we promote the application of SSM models with an institutional perspective in making sense of complex situations relating to legitimation.

The anti-corruption capabilities of e-procurement have not gotten any attention in Ghana, although the success factors of e-procurement adoption have been thoroughly researched. The study's main objective is to assess how e-procurement may reduce procurement fraud and corruption in Ghanaian mining enterprises. A self-administered questionnaire was used to gather information on the extent to which e-procurement anti-corruption factors outlined in the literature reduced procurement fraud and corruption in Ghanaian mining firms from the perspectives of sector practitioners. The data was then analyzed using factor analysis. The study revealed the breaking of the monopoly of power, transparency and accountability, and breaking of information asymmetry, as e-procurement anti-corruption variables that combat procurement fraud and corruption in the mining companies. The most effective e-procurement factor for preventing procurement fraud and corruption is the breaking of the monopoly of power, followed by transparency and accountability, and the least is the breaking of information asymmetry. To reduce procurement fraud and corruption, the government and organizations that manage procurement activities will now have a better understanding of the e-procurement anti-corruption activities and be guided as such.