Field Of Information Systems Research Articles

Students’ online evaluation of teaching and system continuance usage intention: new directions from a multidisciplinary perspective

Student evaluation of teaching (SET), a major tool for assessing teaching quality in higher education is a crucial research topic. Among 13 studies published about online peer SET in Assessment & Evaluation in Higher Education over the past two decades, ease of use, clarity and helpfulness of SET information were repeatedly tested. This study introduces theory from the information systems field to give a multi-disciplinary view in testing how students’ perceptions may affect their intention to continue to use an online peer SET system. While past studies focused on ratemyprofessor.com, offering results from USA, Canada and UK, this study aimed to provide Asian insight by using data from Taiwan. Based on 364 student members of the selected website, findings indicated that disconfirmation of SET information significantly affected perceived usefulness, trust and satisfaction, ultimately shaping continuance usage intention of the online peer SET system. Practical implications for online peer SET website managers and institutional SET managers are discussed.

From transformation to normalisation: An exploratory study of a large-scale agile transformation

Following the highly pervasive and effective use of agile methods at the team level, many software organisations now wish to replicate this success at the organisational level, adopting large-scale agile methods. However, an analysis of extant literature reveals (i) a lack of theoretically grounded studies of large-scale agile transformations; (ii) weak assumptions underpinning those that do exist; and (iii) an overly simplistic and often problematic over-reliance on simple adherence to agile methods. In addition, there is a lack of insights on why large-scale agile transformations fail. To explore this, we apply normalisation process theory (NPT) to examine key challenges in normalising (i.e. the process of embedding and sustaining) large-scale agile methods. We present an in-depth case study of large-scale agile transformation and demonstrate how failing to normalise a large-scale agile method can unravel an organisation’s transformation efforts. There are four key contributions from this research. First, this study shows that the standard focus on initial adoption is one of the main reasons for the widespread failure of digital transformations and in this case a large-scale agile transformation. Second, this is the first study to introduce and empirically apply NPT to information system development (ISD) as an illustrative guide for those across information systems field to follow. Third, we present key recommendations based on NPT to guide researchers and practitioners on the normalisation of large-scale transformations. Fourth, we present an agenda for future research on large-scale agile transformations.

Rural entrepreneurs behaviors towards green innovation: Empirical evidence from Bangladesh

The study aims to investigate the effects of dimensions on the adoption of green innovation in order to design a clean energy strategy and eco-friendly SMEs among rural entrepreneurs in Bangladesh. The study also strives to evaluate if these interactions are mediated by the intention to use green energy technology. Using Smart PLS 3.3.9 (SEM) and SPSS V25, data from a sample of 288 rural Bangladeshi SMEs entrepreneurs were studied using a positivist approach to hypothetic deductive observation. Examining the effects of environmental concern, perceived ease of use, and attitude on adoption of green innovation in the direction of sustainable green SMEs and cities was the goal. The indirect impacts of these three factors have also been examined through the mediating prism of the intention to use green energy technology. The findings show that environmental concern and perceived ease of use are positively and significantly associated with adoption of green innovation. The data also supports the assumption that the intention to use green energy technology, namely solar energy, mediates the relationships between environmental concern and attitude with the adoption of green innovation. However, the intention to use green energy technology does not play a mediating role in the association between the perceived ease of use and adoption of green innovation. The findings of this study on green innovation add to the body of existing literature on rural green innovation and entrepreneurship in the field of information systems and help to pinpoint potential for rural green entrepreneurship and innovation in the digital age. Green innovation is still a relatively new concept in Bangladesh, hence there isn't much talked about it among rural entrepreneurs there. Lastly, the study discusses in some detail how important it is to take into account sustainability factors and eco-innovations that might encourage green innovation practices among rural entrepreneurs.

Guest Editorial: Special issue on machine learning and deep learning algorithms for complex networks

Guest Editorial: Special issue on machine learning and deep learning algorithms for complex networks

An Information System Model for Online Driver's License for Department of Land Transport in Thai Supply Chain

The research aim to develop an information system model for online driver’s license for department of land transport in Thai supply chain and an evaluation of the model . Samples are ten experts in the field of information system and supply chain. Ten experts are selected by purposive sampling method. The obtained data are analysed using mean and standard deviation. The research result demonstrates the model consists of five elements namely main components, Supplier, Department of land transport, Finished person, Customers .The data analysed by using arithmetic mean and standard deviation an information system model for online driver’s license for department of land transport in Thai supply chain using Back-Box technique. The results from ten experts have evaluated the model and commented that the developed model showed high suitability which mean The model can develop information system.

An Information Model for Asset Management in Higher Education Institutions in Thai Supply Chain

The research aim were to develop and to evaluate an information system model for asset management for higher education institution in thai supply chain . The samples are ten experts in the field of information system and supply chain. The data is analysed by means and standardized deviations. The research result shows that the model consists of four elements namely main components, Suppliers, Manufacturer, Customers, The result shows the overall rating mean of 3.65 and standard deviation of 0.66, which means that an information system model for asset management for higher education institution in thai supply chain is appropriate at the high level.The model can develop an information system .

Information System Model for Worker Welfare Management for the Firm in Thai Supply Chain

The research aim study information system model for worker welfare management for the firm in Thai supply chain and an evaluation of the model . This research was purposive sampling method approach with a sampling of ten experts in the field of information system and supply chain. The obtained data are analysed using mean and standard deviation. The research result demonstrates the model consists of five elements namely main components, Supplier, The firm, Satisfaction and service, Customers . The results from ten experts have evaluated the model and commented that the developed model showed high suitability which mean information system model for worker welfare management for the firm in Thai supply chain can develop information system.

Platicando y Mapeando: a Chicana/Latina feminist GIS methodology in educational research

The field of geographic information systems (GIS) has been exclusively associated with positivist epistemological perspectives and quantitative research methods. In a deliberate effort to move away from false notions of objectivity and neutrality, this article proposes the Chicana/Latina feminist GIS methodology of Platicando y Mapeando. By drawing on critical raced-gendered epistemologies and the Chicana/Latina feminist methodology of pláticas, the use of GIS is transformed into a collectivist endeavor that depicts embodied and situated knowledges for social justice. Additionally, the methodology of pláticas is itself transformed in that dimensions of space and spatiality are forefronted. This article outlines five principles of a Platicando y Mapeando methodology and provides a case study of the college (in)opportunities available to rural Latinx youth from California’s San Joaquin Valley to illuminate the significance of this methodology for researchers interested in interrogating the intersections of race, gender, space, and educational (in)opportunity.

An Information System Model for Online Driver's License for Department of Land Transport in Thai Supply Chain

The research aim to develop an information system model for online driver’s license for department of land transport in Thai supply chain and an evaluation of the model . Samples are ten experts in the field of information system and supply chain. Ten experts are selected by purposive sampling method. The obtained data are analysed using mean and standard deviation. The research result demonstrates the model consists of five elements namely main components, Supplier, Department of land transport, Finished person, Customers .The data analysed by using arithmetic mean and standard deviation an information system model for online driver’s license for department of land transport in Thai supply chain using Back-Box technique. The results from ten experts have evaluated the model and commented that the developed model showed high suitability which mean The model can develop information system,

Information System Model for Worker Welfare Management for the Firm in Thai Supply Chain

The research aim study information system model for worker welfare management for the firm in Thai supply chain and an evaluation of the model . This research was purposive sampling method approach with a sampling of ten experts in the field of information system and supply chain. The obtained data are analysed using mean and standard deviation. The research result demonstrates the model consists of five elements namely main components, Supplier, The firm, Satisfaction and service, Customers . The results from ten experts have evaluated the model and commented that the developed model showed high suitability which mean information system model for worker welfare management for the firm in Thai supply chain can develop information system,

An Information Model for Asset Management in Higher Education Institutions in Thai Supply Chain

The research aim were to develop and to evaluate an information system model for asset management for higher education institution in thai supply chain . The samples are ten experts in the field of information system and supply chain. The data is analysed by means and standardized deviations. The research result shows that the model consists of four elements namely main components, Suppliers, Manufacturer, Customers, The result shows the overall rating mean of 3.65 and standard deviation of 0.66, which means that an information system model for asset management for higher education institution in thai supply chain is appropriate at the high level.The model can develop an information system .

Bad Employees: Examining Deviant Security Behaviors

ABSTRACT Control balance theory (CBT) is a control-based theory of deviant behavior When imbalances in control between an individual and their environment exist, deviant behavior can occur. However, sufficient violation motivation and the facilitating conditions must exist. Past research has shown that technology itself often provides the means for deviant behavior among organizational employees. Presently, research on employee deviance using technology is underdeveloped in the field of Information Systems. Further, no work has been done to explore CBT in the context of Information Systems Security Policy violations, which are often a form of technology-facilitated deviant behavior. This study examines, for the first time, Tittle’s full set of proposed constructs, including fear, in the context of technology-based employee security deviance. This research uses CBT to demonstrate the importance of understanding the interplay between technology and employee deviance and the role of organizations in preventing it.

A Complementary View to Computational Thinking and Its Interplay with Systems Thinking

Computational Thinking (CT) pervasively shares its methods, practices, and dispositions across other disciplines as a new way of thinking about problem-solving. Few studies have been carried out studying CT from an Information Systems (IS) perspective. This study elaborates on how systems thinking (ST), an acknowledged theory in the IS field, bonds to CT to address some well-known common issues related to CT such as reductionism and dogmatism, and to supplement the computing nature of CT with behavioral and societal facets involved in its implications. We studied how ST is applied to CT research in the literature. To do so, two primary approaches have been identified that link ST and CT. First, ST is embedded in CT practices meaning that ST is considered as a component of CT. Second, ST and CT are parallelly studied, and ST is considered as a supplementary concept to CT. Correspondingly, we propose a complementary approach that looks at CT from the ST lenses to provide a clearer picture of CT in an educational context. Moreover, we expect this new perspective can help to broaden the development of educational CT concepts and scenarios by including new notions such as framework, interpretation, norms, paradigm, and context.

Understanding the relationship between social media use and depression: a review of the literature

PurposeThis paper analyzes the existing body of work on the relationship between depression and social media use in the information system field, including the impact of social media use on depression, the effect of depression on social media use and the association and interaction between depression and social media use.Design/methodology/approachUsing the systematic review method, this study selected the Web of Science, Emerald, Science Direct, JSTOR, Wiley Online Library and Taylor and Francis Online as search databases and ended up with 29 papers that met all the authors' requirements.FindingsThis study identified five possible reasons for the inconsistencies between the findings of the selected studies. First, uses and gratifications theory has different influence mechanisms in evaluating the relationship between social media use and depression. Second, gender can moderate the impact of social media use on depression. Third, age moderates the association between social media use and depression. Fourth, for adolescents, the time spent on social media has a critical effect on their depression. Fifth, negative personality traits (e.g. rumination, envy, etc.) can play a significant role in mediating the relationship between passive social media use and depression.Originality/valueThis study conducted an evaluation of the relationship between depression and social media use. First, the authors summarized the research framework and main body of work covering the relationship between depression and social media use. Second, the authors proposed possible explanations for the inconsistencies between the findings. Third, the authors discussed and explained the possible influence mechanisms of the existing results.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2021-0211.

SISTEM INFORMASI KEPEGAWAIAN PADA BALAI DILAT KEAGAAMAN MEDAN

Employment information systems are government-developed systems that support systematic and accurate employment information systems. The problem mainly occurs in the employment section because the system is not fully utilized because it still USES the system manually, paging files in the cabinet and opening one file at a time to search for information on each employee is enough to consume time and energy. It's boring, so it's less efficient. The purpose of this study is to design an employment information system that is expected to support corporate performance in the field of resource information systems. The methodology used was stage one interview, the second stage of observation. The final phase of library research. On this final assignment we successfully made the software. Final results are also available for the agency. It is hoped that this software can help the employees' data processing system in the hall office be structured to repair and refine the information. The purpose of this research was to design an employment resource system that is expected to support corporate performance in the field of information system.

Interoperability of heterogeneous health information systems: a systematic literature review

BackgroundThe lack of interoperability between health information systems reduces the quality of care provided to patients and wastes resources. Accordingly, there is an urgent need to develop integration mechanisms among the various health information systems. The aim of this review was to investigate the interoperability requirements for heterogeneous health information systems and to summarize and present them.MethodsIn accordance with the PRISMA guideline, a broad electronic search of all literature was conducted on the topic through six databases, including PubMed, Web of science, Scopus, MEDLINE, Cochrane Library and Embase to 25 July 2022. The inclusion criteria were to select English-written articles available in full text with the closest objectives. 36 articles were selected for further analysis.ResultsInteroperability has been raised in the field of health information systems from 2003 and now it is one of the topics of interest to researchers. The projects done in this field are mostly in the national scope and to achieve the electronic health record. HL7 FHIR, CDA, HIPAA and SNOMED-CT, SOA, RIM, XML, API, JAVA and SQL are among the most important requirements for implementing interoperability. In order to guarantee the concept of data exchange, semantic interaction is the best choice because the systems can recognize and process semantically similar information homogeneously.ConclusionsThe health industry has become more complex and has new needs. Interoperability meets this needs by communicating between the output and input of processor systems and making easier to access the data in the required formats.

Can AI chatbots help retain customers? Impact of AI service quality on customer loyalty

PurposeThis study investigates whether and how the service quality of artificial intelligence (AI) chatbots affects customer loyalty to an organization.Design/methodology/approachBased on the sequential chain model of service quality loyalty, this study first classifies AI chatbot service quality into nine attributes and then develops a research model to explore the internal mechanism of how AI chatbot service quality affects customer loyalty. The analysis of survey data from 459 respondents provided insights into the interrelationships among AI chatbot service quality attributes, perceived value, cognitive and affective trust, satisfaction and customer loyalty.FindingsThe results show that AI chatbot service quality positively affects customer loyalty through perceived value, cognitive trust, affective trust and satisfaction.Originality/valueThis study captures the attributes of the service quality of AI chatbots and reveals the significant influence of service quality on customer loyalty. This study develops research on service quality in the information system (IS) field and extends the sequential chain model of quality loyalty to the context of AI services. The findings not only help an organization find a way to improve customers' perceived value, trust, satisfaction and loyalty but also provide guidance in the development, adoption, and post-adoption stages of AI chatbots.

Research Challenges for the Design of Human-Artificial Intelligence Systems (HAIS)

Artificial intelligence (AI) capabilities are increasingly common components of all socio-technical information systems that integrate human and machine actions. The impacts of AI components on the design and use of application systems are evolving rapidly as improved deep learning techniques and fresh big data sources afford effective and efficient solutions for broad ranges of applications. New goals and requirements for Human-AI System (HAIS) functions and qualities are emerging, whereas the boundaries between human and machine behaviors continue to blur. This research commentary identifies and addresses the design science research (DSR) challenges facing the field of Information Systems as the demand for human-machine synergies in Human-Artificial Intelligence Systems surges in all application areas. The design challenges of HAIS are characterized by a taxonomy of eight C's - composition, complexity, creativity, confidence, controls, conscience, certification, and contribution. By applying a design science research frame to structure and investigate HAIS design, implementation, use, and evolution, we propose a forward-thinking agenda for relevant and rigorous information systems research contributions.

Optimal Transshipment Route Planning Method Based on Deep Learning for Multimodal Transport Scenarios

The optimal path problem is an important topic in the current geographic information system (GIS) and computer science fields. The Dijkstra algorithm is a commonly used method to find the shortest path, which is usually used to find the least cost path from a single source. Based on the analysis and research of the traditional Dijkstra algorithm, this paper points out the problems of the Dijkstra algorithm and optimizes it to improve its storage capacity and operation efficiency. Then, combined with the traffic elements, a new network-based optimal path planning method is established. However, the existing network is far from actual operation in terms of the expansion of the transportation network, the uncertainty of the transportation environment, and the differences in the transportation area. Therefore, this paper proposes an optimal transshipment path planning method based on deep learning, which is oriented to multimodal transportation scenarios. This paper mainly introduces the intelligent transportation system and intelligent navigation system, and then conducts in-depth research on optimal path planning. This paper also uses the deep neural network algorithm to optimize the calculation, and finally analyzes its use and application. Simulation experiments were also performed to analyze the relationship between energy consumption, emissions, speed, load cost, and other factors under the optimal path. The final experimental results show that within the range of the emission limit of [100,200], the emission is 50%, the emission is less than 100%, but the emission is higher than 75%. In [100,200], 75% of the loading rate emits no less than 100%. In [200,300], the 50% and 100% emissions are the same. This also means that the emissions are the same but the paths are not necessarily the same.

INVESTIGATING THE ROLE OF INFORMATION SYSTEMS IN SUPPORTING AGRICULTURAL DEVELOPMENT AND FOOD SECURITY IN BANGLADESH

This study examines the contribution of information systems to facilitate agricultural development and enhance food security in Bangladesh, utilizing a qualitative methodology. The study explores information system adoption among farmers and agricultural stakeholders, assesses their impact, identifies challenges, and highlights opportunities for further integration. The research technique encompassed an extensive examination of existing literature, as well as the administration of in-depth interviews. Data was collected from a total of 50 participants, including farmers, agricultural extension workers, and professionals in the fields of agriculture and information systems. The process of analyzing qualitative data involved many procedures such as transcribing, coding, and categorization, which were employed to identify significant themes and patterns. The results indicate that a considerable proportion of participants make use of information systems, namely mobile applications, for activities such as weather prediction, monitoring market prices, and managing crops. Users have reported concrete advantages, such as stronger decision-making capabilities, improved crop management techniques, and increased yields. Nevertheless, certain obstacles were recognized, such as linguistic difficulties, restricted technological availability, infrastructure constraints, and apprehensions over data security. Participants emphasized the unexplored potential for information systems in the fields of pest and disease management, soil health monitoring, and precision agriculture. Although the study’s qualitative character may restrict the applicability of its findings, the survey and interview results may be influenced by potential self-reporting and recall bias. However, the practical implications of the study are significant. Participants proposed many solutions to address these difficulties, such as providing training and enhancing capabilities, subsidizing access to technology, developing user-friendly interfaces in local languages, and prioritizing data privacy and security. Tackling these difficulties has important societal consequences, since it is crucial for guaranteeing fair and equal access to information systems, boosting agricultural efficiency, and strengthening food security, especially in regions that lack adequate resources. The study provides novel and significant insights that are of great importance to policymakers, researchers, and practitioners working in the subject of agriculture and information systems in Bangladesh.