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This chapter discusses the theoretical framework of the strategic knowledge creation process for realizing business innovation. It presents an explanation of the relationship between the concept of the business community that originates with the formation of “Ba” (which is required in the formulation and execution of the strategic knowledge creation process) and the strategic knowledge creation process. The chapter also analyzes and examines the theoretical framework where the holistic leadership of practitioners achieves new business innovation through the formation of a business community, which is the organizational platform for practicing strategic knowledge creation, that is, the sharing, inspiration, creation, and stockpiling of knowledge.

In particular, the chapter presents a dynamic, theoretical framework where all practitioners at every level of management demonstrate holistic leadership across a three-layered structure (three practice layers) including the formal organization layer, the informal organization layer, and the psychological boundary layer to connect elements for formulating and executing macro and micro strategies and the business community, which has its origins in the formation of “Ba,” to drive the strategic knowledge creation processes.

The study explores the extent to which business analytics can address business problems using the task-technology fit theory.

The qualitative research approach of pattern matching was adopted for data analysis and 12 semi-structured interviews were conducted. Four propositions derived from the literature on task-technology fit are compared to emerging core themes from the empirical data.

The study establishes the relationships between various forms of fit, arguing that the iterative application of business analytics improves problem understanding and solutions, and contends that both under-fit and over-fit can be acceptable due to the increasing costs of achieving ideal fit and potential unaffected outcomes, respectively. The study demonstrates that managers should appreciate that there may be a distinction between those who create business analytics solutions and those who apply business analytics solutions to solve problems.

Extant studies on business analytics have not focused on how the match between business analytics and tasks affects the level to which problems can be addressed that determines business value. This study enriches the literature on business analytics by linking business analytics and business value through problem resolution demonstrated by task-technology fit. To the authors’ knowledge, this study might be the first to apply pattern matching to study the fit between technology and tasks.

We investigate producers’ choice between geographical indications (GI) and brand advertising (BA) as pure marketing strategies to convey information to consumers. Producers also decide whether or not to select an effort level for improving the quality of their products. We identify conditions under which GI and BA emerge with and without quality effort, depending on the relative costs and effectiveness of marketing strategies and quality improvement. Beyond the conventional equilibrium cases of GI-no-quality-effort and BA-with-quality-effort, we identify several other equilibrium strategies. Under plausible parameter characterization, and in spite of the free-riding problem of collective reputation, producers choose GI and quality improvement efforts at equilibrium. This occurs when the cost of marketing is high, the relative cost of quality effort is low relative to the former, and when the effectiveness of marketing promotions is low. BA without quality improvement also emerges as an equilibrium strategy for the opposite cost structure (low cost of promotion, high cost of effort relative to promotion, and higher effectiveness of promotion). Finally, the joint selection of both instruments BA and GI is examined. We motivate and illustrate our analysis with the European and New-World wine industries.

Drawing on the resource-based theory and dynamic capability view, this paper aims to examine the mechanisms by which business analytics (BA) capabilities (i.e. the effective use of data aggregation, analytics and data interpretation tools) in healthcare units indirectly influence decision-making effectiveness through the mediating role of knowledge absorptive capacity.

Using a survey method, this study collected data from the hospitals in Taiwan. Of the 155 responses received, three were incomplete, giving a 35.84 per cent response rate with 152 valid data points. Structural equation modeling was used to test the hypotheses.

This study conceptualizes, operationalizes and measures the BA capability as a multi-dimensional construct that is formed by capturing the functionalities of BA systems in health care, leading to the conclusion that healthcare units are likely to obtain valuable knowledge through using the data analysis and interpretation tools effectively. The effective use of data analysis and interpretation tools in healthcare units indirectly influence decision-making effectiveness, an impact that is mediated by absorptive capacity.

This study adds values to the literature by conceptualizing BA capabilities in healthcare and demonstrating how knowledge absorption matters when implementing BA to the decision-making process. The mediating role of absorptive capacity not only provides a mechanism by which BA can contribute to decision-making practices but also offers a new solution to the puzzle of the IT productivity paradox in healthcare settings.

As businesses keep investing substantial resources in developing business analytics (BA) capabilities, it is unclear how the performance improvement transpires as BA affects performance in many different ways. This paper aims to analyze how BA capabilities affect firms’ agility through resources like information quality and innovative capacity considering industry dynamism and the resulting impact on firm performance.

This paper tested the research hypothesis using primary data collected from 192 companies operating in Bangladesh. The data were analyzed using partial least squares-based structural equation modeling.

The results indicate that BA capabilities improve business resources like information quality and innovative capacity, which, in turn, significantly impact a firm’s agility. This paper also found out that industry dynamism moderates the firms’ agility and, ultimately, firms’ performance.

The contribution of this work provides insight regarding the role of business analytics capabilities in increasing organizational agility and performance under the moderating effects of industry dynamism.

The present research is to the best of the authors’ knowledge among the first studies considering a firm’s agility to explore the impact of BA on a firm’s performance in a dynamic environment. While previous researchers discussed resources like information quality and innovative capability, current research theoretically argues that these items are a leveraging point in a BA context to increase firm agility.

The purpose of this paper is to introduce a new type of ba, called “vocation ba” and to describe the main aspects of this type of ba as well as its methods.

The paper reviews the literature in the field of self‐transcending knowledge and the concept of ba and shows the main aspects for the design of a new methodology and framework. Additionally it analyzes experiences with the new method from several case studies.

First the concept of vocation ba describes a space on the individual level as well as on the collective level for the generation of self‐transcending knowledge. Second the method of Vocation‐coaching_WaVe is a helpful method within the vocation ba. The experiences with these two new concepts from several case studies are very encouraging.

The number of case studies at the collective level is still limited, as the authors have been working with the method of Vocation‐coaching_WaVe at the collective level for two years. At the moment further research is done in larger systems.

This study gives insight and information about the method of Vocation‐coaching_WaVe and the concept of vocation ba.

The paper presents one of the few studies, which theoretically and practically deals with the aspect of self‐transcending knowledge in the context of vision development processes and knowledge‐based management on the individual level as well as on the collective level. The method of Vocation‐coaching_WaVe at the collective level is a continuous approach of a bottom‐up vision development process.

Firms seek to improve their decision-making and enable more “fact-based” decisions by using business analytics. While the benefits of using business analytics to monitor, develop and improve daily operations have been reported by many scholars, using it in more complex top management decisions has received less attention. Building on the resource-based view of the firm, this study aims to investigate top management perceptions of using business analytics for making decisions on firm resources.

This study uses semi-structured interviews to collect perceptions of 12 top managers in large firms on when and why they use business analytics in their decision-making.

Top managers use business analytics output as their main source of information for monitoring ongoing business performance against set targets and taking corrective actions. Concerning future-oriented planning and strategic decision-making involving more complex changes on the firms’ resource base, top managers proactively complement knowledge derived via business analytics with other sources of knowledge, such as stakeholder and expert opinions. Moreover, top managers use of business analytics depends on their own expectations of its value potential and on the expectations of their organization.

This study adds to the extant literature on the business value of business analytics by outlining the purposes and reasons for top management business analytics use. By demonstrating when and why top managers apply business analytics when making decisions on the firm’s current and future resource base, this study contributes to the discussion on the resource-based view and decision-making practices of the firm.

Business analytics (BA) is a new frontier of technology development and has enormous potential for value creation. Information systems research shows ample evidence of its positive business impacts and organizational performance. However, there is limited understanding of how decision-makers or users of BA outcomes actually engage with data analysts in the process of data-driven insight generation and how they improve their understanding of business environments using BA outcomes. To aid this engagement and understanding, this study investigates the interaction between decision-makers and data analysts when they attempt to uncover data capacities and business needs and acquire business insights from BA tools.

This study employs an interpretive field study with thematic analysis. The authors conducted interviews with 31 participants who all relied on BA in their daily decisions. The study participants were engaged in different BA roles, including data analysts and decision-makers. They validated the applicability and usefulness of our findings through a focus group with eight practitioners, including decision-makers and data analysts from the same companies.

This study proposes a process model of data-driven sensemaking and sensegiving based on Weick’s sensemaking framework. The findings exhibit that decision-makers are engaged in sensemaking by identifying areas of focus, determining BA scope, evaluating generated insights and turning BA into action. The findings also show that data analysts engage in sensemaking by consolidating data, data understanding, preparing preliminary outcomes and generating actionable reports. This study shows how sensemaking processes and sensegiving activities work together over time through immediate enactment, selection and decision cycles.

This study is a first attempt to understand interactions in the context of BA using the perspective of sensemaking and sensegiving.

Designing effective business analytics (BA) platforms that visualise data, provide deep insights and support data-driven decision-making is a challenging task. Understanding the elements shaping BA platform design is crucial for success. The purpose of this study is to explore the impact of visualisation on usability (UI) and user experience (UX) while emphasising the importance of insights understanding in BA platform design.

This paper presents a case study following a startup’s journey as it undergoes two redesign phases for its BA platform. A combination of quantitative and qualitative methods is used to assess UX/UI and insights understanding of the platform. Indicatively this included semi-structured interviews, observations, think-aloud techniques and surveys to monitor runtime per task, number of errors, users’ emotions and users’ understanding.

Our findings suggest that modifications in aesthetics and information visualisation positively influence overall usability, UX, and understanding of platform insights – a critical aspect for the success of the startup.

Our goal is not to make a methodological contribution, but to illustrate how companies, constrained by time and pressure, navigate platform changes without meticulous design and provide learnings on important elements while designing BA platforms.

This paper concludes with suggested methods for assessing BA platforms and recommends practical practices to follow. These practices include recommendations on important elements for BA platform users, such as navigation and interactivity, user control and personalisation, visual consistency and effective visualisation.

This study contributes to practice as it presents a real-life case and offers valuable insights for practitioners.

In a service-led, knowledge-based economy, employers increasingly expect universities to deliver a workforce suited to this environment. This emphasis is evident in contemporary Australian higher education, which is shifting to an acquisition of vocational outcomes. However, vocational outcomes are not traditionally viewed as outcomes of liberal arts programs. Balancing new expectations with traditional perspectives generates a tension between assuring graduates employment outcomes and maintaining the integrity of the Bachelor of Arts (BA) as a liberal arts program. Getting it wrong can result in fragmented and unstable curricula. One of the many ways that Australian BA programs are grappling with this problem is through the provision of work-integrated learning (WIL) opportunities for liberal arts students. In professions-based programs such as engineering or dentistry, the shape and nature of these courses may be obvious. It is less so in the generalist BA. Australian BA programs offer students the opportunity to engage with WIL in a variety of ways. Evidence from national studies investigating the Australian BA between 2008 and 2016 highlight common features of practice – such as the objectives, activities, and structure, and indicate that two approaches to providing WIL opportunities in the BA are evident. In order to meet the goals and aspirations of both economic and social purposes of higher education, liberal arts programs tend to adopt either a transactional or a transformational model. Each model has particular characteristics and approaches to practice that can inform the development of new programs and policies more globally.