Browsing Business and management by Publisher "Pacific Asia Conference on Information Systems"
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The affordances of business analytics for strategic decision-making and their impact on organisational performanceIncreasingly, business analytics is seen to provide the possibilities for businesses to effectively support strategic decision-making, thereby to become a source of strategic business value. However, little research exists regarding the mechanism through which business analytics supports strategic decisionmaking and ultimately organisational performance. This paper draws upon literature on IT affordances and strategic decision-making to (1) understand the decision-making affordances provided by business analytics, and (2) develop a research model linking business analytics, data-driven culture, decision-making affordances, strategic decision-making, and organisational performance. The model is empirically tested using structural equation modelling based on 296 survey responses collected from UK businesses. The study produces four main findings: (1) business analytics has a positive effect on decision-making affordances both directly and indirectly through the mediation of a data-driven culture; (2) decision-making affordances significantly influence strategic decision comprehensiveness positively and intuitive decision-making negatively; (3) data-driven culture has a significant and positive effect on strategic decision comprehensiveness; and (4) strategic decision comprehensiveness has a positive effect on organisational performance but a negative effect on intuitive decision-making.
Gaining competitive advantage from analytics through the mediation of decision-making effectiveness: An empirical study of UK manufacturing companiesWhile it is widely believed that analytics capabilities enable a company to identify valuable insights from big data thereby to improve the effectiveness of decision-making and to gain competitive advantage, little empirical research has been undertaken to investigate the mechanisms through which analytics capabilities improve decision-making effectiveness and organisational competitiveness. This paper aims to reduce this research gap in the literature. Drawing on the resource-based view (RBV), it develops a research model to specify the interrelationships among information processing capabilities, resource heterogeneity, decision-making effectiveness, and competitive advantage. It then empirically tests the proposed model using structural equation modelling based on 232 responses collected from UK manufacturing companies. This paper has made several contributions to the research and practice of business analytics and decision-making. First, it advances the literatures by conceptually developing and empirically testing a path model linking information processing capabilities to decision-making effectiveness and competitive advantage. Second, it advances our knowledge by clarifying and testing the mediating role of decision-making effectiveness in affecting the relationship between information processing capabilities and competitive advantage. Third, it extends the RBV and decision-making literatures by explicating and testing the mediating role of resource heterogeneity in affecting the relationship between information processing capabilities and competitive advantage, and between information processing capabilities and decision-making effectiveness. Finally, this paper contributes to managers' and business analytics practitioners' knowledge by demonstrating the importance of improving decision-making effectiveness in gaining competitive advantage.
Strategic orientation, triadic strategic alignment and firm performanceTo survive and success in the very competitive business environment, firms should have clear business strategy supported by appropriate IT and marketing strategies. While many prior studies argue that strategic alignment between for example business strategy and information technology (IT) strategy generally enhances organisational performance, strategic alignment including multiple factors has received little attention and strategic orientation of firms is rarely considered. This research, drawing on contingency theory and strategic management literature, aims to understand the performance impact of triadic strategic alignment between business, IT, and marketing strategies based on strategic orientation of firms. A number of hypotheses are proposed to identify generic types of triadic strategic alignment. The hypotheses are tested through MANOVA using data collected in a questionnaire survey of 242 Yemen managers. The findings indicate that (1) there is an ideal triadic strategic alignment for prospectors and defenders; (2) triadic strategic alignment has a positive impact on organisational performance; and (3) triadic strategic alignment provides a better indication of the nature and performance impact of strategic alignment. This research also contributes to managers' knowledge and understanding by suggesting how a firm should coherently align its strategies to improve organisational performance.
Understanding the use and impact of learning analytics on student experience management in the UK higher education sectorInformation systems have always been seen as an essential enabler for the success of the modern organisations. This is also very evident for Higher Education Institutions (HEIs) worldwide. Driving by the need to improve student experience, Learning Analytics (LA) has been a rapidly growing area of interest in UK HEIs. However, there is very limited literature on the use and impact of LA in the Higher Education sector. This research aims to close this gap by developing a better understanding of the use and impact of LA on student experience management. A qualitative methodology is employed by adopting an exploratory case study and semi-structured interviews with key stakeholders across UK HEIs. This research-in-progress paper will provide background information, identify research gaps, explain the research methodology and process, discuss the preliminary findings and framework so far, and present the future work and expected contributions.