Background: Crowdlending is increasingly popular among investors as a means of alternative invest... more Background: Crowdlending is increasingly popular among investors as a means of alternative investment or for raising capital. This platform emerged in Asia in 2009, with China being one of the earliest countries to introduce crowdlending. Since its inception over a decade ago, the industry has grown significantly; yet multiple unresolved issues remain. Method: Using computer-assisted textual analysis and content analysis, our study examined articles from representative online newspapers in Asian countries to understand crowdlending diffusion in Asia, both within China and outside China. Results: Using the issue-attention cycle and the diffusion of innovation (DOI) theory, our analysis of news excerpts relating to crowdlending over a ten-year period (2009-2019) showed that crowdlending diffusion took two different paths. In China, it started with the practical use of crowdlending, with government regulations introduced after numerous problems emerged. In contrast, outside China, the rules were enacted simultaneously with IT artifact and practice. Furthermore, in connecting the DOI theory with an IT-based regulatory system, we demonstrated the usefulness this approach in explaining how DOI can inform IT sensemaking and rulemaking, which can help crowdlending practitioners remove potential impediments from crowdlending practices. Lastly, media coverage on crowdlending practices was found to have offered multiple perspectives, which could have had an impact on public opinion and attitude towards the new technology. Conclusion: Our study's chief contribution lies in showing how media facilitates crowdlending diffusion. In painting a broad picture of crowdlending in Asia, we show that media can help the public, practitioners, and governments to be aware of the crowdlending platform's potential risks and to find ways to mitigate them. Knowing about crowdlending diffusion can help authorities in Asian countries consider more effective ways of regulating the industry. Hence, media as a contextual factor could be considered in other innovation research and IT-based regulation frameworks.
Journal of Information Technology Teaching Cases, 2022
The crowdlending industry is a fast-growing financial technology (fintech) sector that brings tog... more The crowdlending industry is a fast-growing financial technology (fintech) sector that brings together borrowers and lenders. As an alternative financial intermediary, the crowdlending industry plays an essential role in reducing the financial exclusion of small and medium-sized enterprises (SMEs) struggling to obtain funds from traditional financial intermediaries such as commercial banks. With the onset of Covid-19 and the deteriorating economies worldwide, Singapore crowdlending platforms have come under pressure due to the increasing default rate of their borrowers. This case study illuminates the challenges faced by Aurora (pseudonym), a crowdlending platform that operates in Singapore, Indonesia, and Malaysia. In response to high default rates during Covid-19, Aurora’s management made improvement to its current machine learning-based credit scoring model in June 2021. This case study describes the challenges Aurora faced in identifying relevant features for the machine learnin...
Journal of Emerging Technologies in Accounting, 2021
In the process of automation implementation, it is critical for management and employees to have ... more In the process of automation implementation, it is critical for management and employees to have skills in understanding, identifying, and documenting the relevant business processes. To equip students with these skills, we employ an authentic business scenario from the Truveil, a toy company. In 2021, Truveil (a pseudonym) had operations in more than 15 countries. In this teaching case, we explain the business process of the company's Singapore office. This case provides students with the opportunity to map a business process before and after automation, understand the challenges the company faced in implementing automation, and apply critical thinking to business process automation.
Abstract Since the inception of blockchain-related technologies over a decade ago, investors’ upt... more Abstract Since the inception of blockchain-related technologies over a decade ago, investors’ uptake of the technologies has grown rapidly. But even with the advancement in standing from conceptual beginnings to real-world experimentation, mainstream adoption of the technologies in either organizational or individual contexts has yet to eventuate. To resolve this paradox, we examine progression of the technologies’ diffusion instead, and in the process, seek to uncover the underlying dynamics of sentiments at play. Diffusion involves multiple actions by different parties, with social discourses via diverse media playing an essential role. In demonstrating the interplay of support to resistance via media framing and the diffusion of innovation theory, findings from our paper contribute to the technology adoption literature. Understanding resistant behavior toward a new technology area could help resolve potential issues that may arise. This would hopefully lead to better technological implementation outcomes in future.
Abstract Various arguments for and against distributed ledger technology (DLT) appear in the medi... more Abstract Various arguments for and against distributed ledger technology (DLT) appear in the media. By analyzing DLT-related online English news articles from 2010 to 2018, first, we use organizing visions to investigate DLT’s history of evolving and expanding. Second, following the Gartner hype cycle stages, we observe how DLT may offer ripe opportunities for future inquiry. We found DLT’s diffusion was characterized by competing arguments. While DLT was initially viewed as somewhat questionable, communities collectively have (re)interpreted it favorably. DLT provides researchers with opportunities warranting further development in the information systems field.
Journal of Information Technology Teaching Cases, 2020
This case illustrates the challenges in implementing data analytics in a small and medium enterpr... more This case illustrates the challenges in implementing data analytics in a small and medium enterprise. A small and medium enterprise in Singapore, The Cage, runs a sports facilities rental business that has adopted basic data analytics and enjoyed the benefits data analytics offers. Since implementing enterprise resource planning in 2016 for their business processes, it now has readily available financial and customer data. Using available data from its enterprise resource planning system, The Cage now wants to incorporate more advanced data analytics into its decision-making process. While The Cage acknowledges the impact of data analytics on its business, it encounters practical challenges in the data lifecycle, namely, data discovery, data collection, analysis and modelling building, and data governance.
Pacific Asia Journal of the Association for Information Systems, 2019
Background: Interactive data and information visualization (IDIV) enhances information presentati... more Background: Interactive data and information visualization (IDIV) enhances information presentations by providing users with multiple visual representations, active controls, and analytics. Users have greater control over IDIV presentations than standard presentations and as such IDIV becomes a more popular and relevant means of supporting data analytics (DA), as well as augmenting human intellect. Thus, IDIV enables provision of information in a format better suited to users' decision-making. Method: Synthesizing past literature, we unpack IDIV characteristics and their influence on decision-making. This study adopts a narrative review method. Our conceptualization of IDIV and the proposed decision-making model are derived from a substantial body of literature from within the information systems (IS) and psychology disciplines. Results: We propose an IS centered model of IDIV enhanced decision-making incorporating four bases of decision-making (i.e., predictors, moderators, mediators, and outcomes). IDIV is specifically characterized by rich features compared with standard information presentations, therefore, formulating the model is critical to understanding how IDIV affects decision processes, perceptual evaluations, and decision outcomes and quality. Conclusions: This decision-making model could provide a meaningful frame of reference for further IDIV research and greater specificity in IS theorizing. Overall, we contribute to the systematic description and explanation of IDIV and discuss a potential research agenda for future IDIV research into IS.
International Journal of Accounting & Information Management, 2019
Purpose The purpose of this study is to gain insight into what aspects of eXtensible Business Rep... more Purpose The purpose of this study is to gain insight into what aspects of eXtensible Business Reporting Language (XBRL) data and information quality (DIQ) most interest professionals. Design/methodology/approach The authors use text analytics to examine XBRL discourses from professionals working in the domain. They explore the discussion in the three largest LinkedIn XBRL groups. Data collection covered the period 2010-2016. Findings Via the text analytics, the authors find the most appropriate XBRL DIQ dimensions. They propose an XBRL DIQ framework containing 18 relevant DIQ dimensions derived from both the accounting and IS fields. The findings of this study are expected to help direct future XBRL research into the DIQ dimensions most worthy of further empirical investigation. Originality/value XBRL is the international standard for the digital reporting of financial, performance, risk and compliance information. Although the expectations of XBRL to produce improvements in DIQ via...
The volume of freely available accounting information is rapidly becoming overwhelming. To be use... more The volume of freely available accounting information is rapidly becoming overwhelming. To be useful, information needs to be delivered to users in a suitable, relevant, and understandable form. Interactive data visualisation (IDV) can help address this need for useful information by organising accounting information, especially financial reports, into forms with these qualities. Given both their prevalence and their likelihood of being future users of IDV, the purpose of this research is to examine the appropriateness of IDV for non-professional investors' use when they access accounting information. This research uses a 2 × 2 experimental approach involving 404 participants representing non-professional investors from diverse demographic backgrounds. This research suggests that IDV mitigates non-professional investors' restricted investment capabilities by presenting information that is more salient, thus reducing non-professional investors' cognitive effort. This combination allows such investors to better perform both simple and multipart investment tasks. By integrating three information systems' fit perspectives (i.e. task technology, information quality, and cognitive), this research explains IDV's suitability and fit within the accounting domain. We also discuss how the findings can inform practice and span interdisciplinary research into data and information visualisation.
Extensible business reporting language (XBRL) was developed from an established markup computer l... more Extensible business reporting language (XBRL) was developed from an established markup computer language (eXtensible Markup Language, XML). XBRL facilitates data and information exchange between different information systems (IS). This important feature has attracted much research since the early 2000s. This article aims to provide a framework for XBRL research's contributions to information systems (IS). An integrative review is needed to draw an overall picture and canvas key findings regarding the various XBRL topics examined in past studies. Such a review also identifies research opportunities and guides future XBRL research. We conducted thematic analysis using an integrative literature review. A sample of 150 XBRL articles obtained from various peer-reviewed academic journals was used to understand past XBRL studies and suggest XBRL's future research direction. This article identifies and proposes four current XBRL research streams; namely, XBRL's impact on busines...
International Journal of Business Information Systems, 2014
Experimental research has been widely used within the information systems (IS) field. Using a met... more Experimental research has been widely used within the information systems (IS) field. Using a meta-review, this study examines the use of experimental research in the IS field during the period 1990 to 2013 and investigates the utilisation of statistical techniques, particularly multivariate analyses. This study provides important information regarding the pattern of experimental research in the IS field (i.e., experimental designs, treatments, tasks, incentives and participants). This study finds that multivariate analysis of variance (MANOVA) is frequently used as the multivariate statistical technique in experimental IS research. While the use of multivariate analyses is common in recent experimental IS research, concerns remain about the potential inappropriate use of measurements and violations of statistical assumptions required by the various multivariate analyses, for example, using ordinal scales rather than interval scales and issues surrounding the normality of data. This article is intended to offer guidelines to help future researchers be aware of the statistical issues and to mitigate the shortcomings that arise due to inappropriate use of measurements and violations of the statistical assumptions in experimental IS research.
Multiple discourses are critical in determining the success of information technology (IT) diffus... more Multiple discourses are critical in determining the success of information technology (IT) diffusion. Since its inception, such discourses also appear in the eXtensible Business Reporting Language (XBRL) diffusion sphere. To help explain XBRL diffusion, we explore the discourses relative to XBRL in social media. A case study with text mining and content analysis was conducted to address three research questions covering community discourses, polarity of viewpoint, and learning surrounding XBRL in social media. Our sample data consisted of members' posts and comments in LinkedIn XBRL groups over the period 2010 to 2013. Our analysis finds that XBRL discourses in social media have largely revolved around the dissemination of XBRL information to raise awareness among potential adopters (i.e., theorization) and to properly implement XBRL (i.e., translation). Our findings indicate that XBRL's theorization is not in doubt, while XBRL's translation remains challenging. Professi...
Journal of Information Technology Teaching Cases, 2021
While real-world data may be publicly available and easily accessible, data require context to be... more While real-world data may be publicly available and easily accessible, data require context to be delivered in a classroom. Apart from providing students experience working with real-world data for data analytics, this case also provides an example to university instructors on how to contextualize the real-world data set for teaching. This case equips students with relevant skills in data analytics that are aligned with the industry need. The context that we provided in this teaching case is applicable to undergraduate courses. We applied this case as one of business information system–related courses for the first-year university students.
Background: Crowdlending is increasingly popular among investors as a means of alternative invest... more Background: Crowdlending is increasingly popular among investors as a means of alternative investment or for raising capital. This platform emerged in Asia in 2009, with China being one of the earliest countries to introduce crowdlending. Since its inception over a decade ago, the industry has grown significantly; yet multiple unresolved issues remain. Method: Using computer-assisted textual analysis and content analysis, our study examined articles from representative online newspapers in Asian countries to understand crowdlending diffusion in Asia, both within China and outside China. Results: Using the issue-attention cycle and the diffusion of innovation (DOI) theory, our analysis of news excerpts relating to crowdlending over a ten-year period (2009-2019) showed that crowdlending diffusion took two different paths. In China, it started with the practical use of crowdlending, with government regulations introduced after numerous problems emerged. In contrast, outside China, the rules were enacted simultaneously with IT artifact and practice. Furthermore, in connecting the DOI theory with an IT-based regulatory system, we demonstrated the usefulness this approach in explaining how DOI can inform IT sensemaking and rulemaking, which can help crowdlending practitioners remove potential impediments from crowdlending practices. Lastly, media coverage on crowdlending practices was found to have offered multiple perspectives, which could have had an impact on public opinion and attitude towards the new technology. Conclusion: Our study's chief contribution lies in showing how media facilitates crowdlending diffusion. In painting a broad picture of crowdlending in Asia, we show that media can help the public, practitioners, and governments to be aware of the crowdlending platform's potential risks and to find ways to mitigate them. Knowing about crowdlending diffusion can help authorities in Asian countries consider more effective ways of regulating the industry. Hence, media as a contextual factor could be considered in other innovation research and IT-based regulation frameworks.
Journal of Information Technology Teaching Cases, 2022
The crowdlending industry is a fast-growing financial technology (fintech) sector that brings tog... more The crowdlending industry is a fast-growing financial technology (fintech) sector that brings together borrowers and lenders. As an alternative financial intermediary, the crowdlending industry plays an essential role in reducing the financial exclusion of small and medium-sized enterprises (SMEs) struggling to obtain funds from traditional financial intermediaries such as commercial banks. With the onset of Covid-19 and the deteriorating economies worldwide, Singapore crowdlending platforms have come under pressure due to the increasing default rate of their borrowers. This case study illuminates the challenges faced by Aurora (pseudonym), a crowdlending platform that operates in Singapore, Indonesia, and Malaysia. In response to high default rates during Covid-19, Aurora’s management made improvement to its current machine learning-based credit scoring model in June 2021. This case study describes the challenges Aurora faced in identifying relevant features for the machine learnin...
Journal of Emerging Technologies in Accounting, 2021
In the process of automation implementation, it is critical for management and employees to have ... more In the process of automation implementation, it is critical for management and employees to have skills in understanding, identifying, and documenting the relevant business processes. To equip students with these skills, we employ an authentic business scenario from the Truveil, a toy company. In 2021, Truveil (a pseudonym) had operations in more than 15 countries. In this teaching case, we explain the business process of the company's Singapore office. This case provides students with the opportunity to map a business process before and after automation, understand the challenges the company faced in implementing automation, and apply critical thinking to business process automation.
Abstract Since the inception of blockchain-related technologies over a decade ago, investors’ upt... more Abstract Since the inception of blockchain-related technologies over a decade ago, investors’ uptake of the technologies has grown rapidly. But even with the advancement in standing from conceptual beginnings to real-world experimentation, mainstream adoption of the technologies in either organizational or individual contexts has yet to eventuate. To resolve this paradox, we examine progression of the technologies’ diffusion instead, and in the process, seek to uncover the underlying dynamics of sentiments at play. Diffusion involves multiple actions by different parties, with social discourses via diverse media playing an essential role. In demonstrating the interplay of support to resistance via media framing and the diffusion of innovation theory, findings from our paper contribute to the technology adoption literature. Understanding resistant behavior toward a new technology area could help resolve potential issues that may arise. This would hopefully lead to better technological implementation outcomes in future.
Abstract Various arguments for and against distributed ledger technology (DLT) appear in the medi... more Abstract Various arguments for and against distributed ledger technology (DLT) appear in the media. By analyzing DLT-related online English news articles from 2010 to 2018, first, we use organizing visions to investigate DLT’s history of evolving and expanding. Second, following the Gartner hype cycle stages, we observe how DLT may offer ripe opportunities for future inquiry. We found DLT’s diffusion was characterized by competing arguments. While DLT was initially viewed as somewhat questionable, communities collectively have (re)interpreted it favorably. DLT provides researchers with opportunities warranting further development in the information systems field.
Journal of Information Technology Teaching Cases, 2020
This case illustrates the challenges in implementing data analytics in a small and medium enterpr... more This case illustrates the challenges in implementing data analytics in a small and medium enterprise. A small and medium enterprise in Singapore, The Cage, runs a sports facilities rental business that has adopted basic data analytics and enjoyed the benefits data analytics offers. Since implementing enterprise resource planning in 2016 for their business processes, it now has readily available financial and customer data. Using available data from its enterprise resource planning system, The Cage now wants to incorporate more advanced data analytics into its decision-making process. While The Cage acknowledges the impact of data analytics on its business, it encounters practical challenges in the data lifecycle, namely, data discovery, data collection, analysis and modelling building, and data governance.
Pacific Asia Journal of the Association for Information Systems, 2019
Background: Interactive data and information visualization (IDIV) enhances information presentati... more Background: Interactive data and information visualization (IDIV) enhances information presentations by providing users with multiple visual representations, active controls, and analytics. Users have greater control over IDIV presentations than standard presentations and as such IDIV becomes a more popular and relevant means of supporting data analytics (DA), as well as augmenting human intellect. Thus, IDIV enables provision of information in a format better suited to users' decision-making. Method: Synthesizing past literature, we unpack IDIV characteristics and their influence on decision-making. This study adopts a narrative review method. Our conceptualization of IDIV and the proposed decision-making model are derived from a substantial body of literature from within the information systems (IS) and psychology disciplines. Results: We propose an IS centered model of IDIV enhanced decision-making incorporating four bases of decision-making (i.e., predictors, moderators, mediators, and outcomes). IDIV is specifically characterized by rich features compared with standard information presentations, therefore, formulating the model is critical to understanding how IDIV affects decision processes, perceptual evaluations, and decision outcomes and quality. Conclusions: This decision-making model could provide a meaningful frame of reference for further IDIV research and greater specificity in IS theorizing. Overall, we contribute to the systematic description and explanation of IDIV and discuss a potential research agenda for future IDIV research into IS.
International Journal of Accounting & Information Management, 2019
Purpose The purpose of this study is to gain insight into what aspects of eXtensible Business Rep... more Purpose The purpose of this study is to gain insight into what aspects of eXtensible Business Reporting Language (XBRL) data and information quality (DIQ) most interest professionals. Design/methodology/approach The authors use text analytics to examine XBRL discourses from professionals working in the domain. They explore the discussion in the three largest LinkedIn XBRL groups. Data collection covered the period 2010-2016. Findings Via the text analytics, the authors find the most appropriate XBRL DIQ dimensions. They propose an XBRL DIQ framework containing 18 relevant DIQ dimensions derived from both the accounting and IS fields. The findings of this study are expected to help direct future XBRL research into the DIQ dimensions most worthy of further empirical investigation. Originality/value XBRL is the international standard for the digital reporting of financial, performance, risk and compliance information. Although the expectations of XBRL to produce improvements in DIQ via...
The volume of freely available accounting information is rapidly becoming overwhelming. To be use... more The volume of freely available accounting information is rapidly becoming overwhelming. To be useful, information needs to be delivered to users in a suitable, relevant, and understandable form. Interactive data visualisation (IDV) can help address this need for useful information by organising accounting information, especially financial reports, into forms with these qualities. Given both their prevalence and their likelihood of being future users of IDV, the purpose of this research is to examine the appropriateness of IDV for non-professional investors' use when they access accounting information. This research uses a 2 × 2 experimental approach involving 404 participants representing non-professional investors from diverse demographic backgrounds. This research suggests that IDV mitigates non-professional investors' restricted investment capabilities by presenting information that is more salient, thus reducing non-professional investors' cognitive effort. This combination allows such investors to better perform both simple and multipart investment tasks. By integrating three information systems' fit perspectives (i.e. task technology, information quality, and cognitive), this research explains IDV's suitability and fit within the accounting domain. We also discuss how the findings can inform practice and span interdisciplinary research into data and information visualisation.
Extensible business reporting language (XBRL) was developed from an established markup computer l... more Extensible business reporting language (XBRL) was developed from an established markup computer language (eXtensible Markup Language, XML). XBRL facilitates data and information exchange between different information systems (IS). This important feature has attracted much research since the early 2000s. This article aims to provide a framework for XBRL research's contributions to information systems (IS). An integrative review is needed to draw an overall picture and canvas key findings regarding the various XBRL topics examined in past studies. Such a review also identifies research opportunities and guides future XBRL research. We conducted thematic analysis using an integrative literature review. A sample of 150 XBRL articles obtained from various peer-reviewed academic journals was used to understand past XBRL studies and suggest XBRL's future research direction. This article identifies and proposes four current XBRL research streams; namely, XBRL's impact on busines...
International Journal of Business Information Systems, 2014
Experimental research has been widely used within the information systems (IS) field. Using a met... more Experimental research has been widely used within the information systems (IS) field. Using a meta-review, this study examines the use of experimental research in the IS field during the period 1990 to 2013 and investigates the utilisation of statistical techniques, particularly multivariate analyses. This study provides important information regarding the pattern of experimental research in the IS field (i.e., experimental designs, treatments, tasks, incentives and participants). This study finds that multivariate analysis of variance (MANOVA) is frequently used as the multivariate statistical technique in experimental IS research. While the use of multivariate analyses is common in recent experimental IS research, concerns remain about the potential inappropriate use of measurements and violations of statistical assumptions required by the various multivariate analyses, for example, using ordinal scales rather than interval scales and issues surrounding the normality of data. This article is intended to offer guidelines to help future researchers be aware of the statistical issues and to mitigate the shortcomings that arise due to inappropriate use of measurements and violations of the statistical assumptions in experimental IS research.
Multiple discourses are critical in determining the success of information technology (IT) diffus... more Multiple discourses are critical in determining the success of information technology (IT) diffusion. Since its inception, such discourses also appear in the eXtensible Business Reporting Language (XBRL) diffusion sphere. To help explain XBRL diffusion, we explore the discourses relative to XBRL in social media. A case study with text mining and content analysis was conducted to address three research questions covering community discourses, polarity of viewpoint, and learning surrounding XBRL in social media. Our sample data consisted of members' posts and comments in LinkedIn XBRL groups over the period 2010 to 2013. Our analysis finds that XBRL discourses in social media have largely revolved around the dissemination of XBRL information to raise awareness among potential adopters (i.e., theorization) and to properly implement XBRL (i.e., translation). Our findings indicate that XBRL's theorization is not in doubt, while XBRL's translation remains challenging. Professi...
Journal of Information Technology Teaching Cases, 2021
While real-world data may be publicly available and easily accessible, data require context to be... more While real-world data may be publicly available and easily accessible, data require context to be delivered in a classroom. Apart from providing students experience working with real-world data for data analytics, this case also provides an example to university instructors on how to contextualize the real-world data set for teaching. This case equips students with relevant skills in data analytics that are aligned with the industry need. The context that we provided in this teaching case is applicable to undergraduate courses. We applied this case as one of business information system–related courses for the first-year university students.
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