Search results

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.

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.

This study aims to extend research in marketing on two important relational constructs, customer satisfaction and brand attachment, by comparing their long-term effects on customer behaviors with different levels of performance difficulty in a relatively understudied domain of durable products.

Using a two-stage quantitative study with US customers from five durable product categories, the authors first explored the hierarchy of customers’ loyalty behaviors based on increasing effort in a pretest study (N = 675). Then, the authors tested the effectiveness of satisfaction and brand attachment for customers’ loyalty behaviors over a nine-month period in a longitudinal study (N = 2,284) with customers from the same product categories.

Compared to satisfaction, brand attachment emerges as a stronger long-term predictor of customer behaviors. The performance difficulty of customer behaviors positively moderates the impact of brand attachment and negatively moderates the impact of customer satisfaction. Brand attachment is particularly effective in predicting difficult-to-perform customer behaviors, which require customers to expend resources such as time and money. Customer satisfaction is mainly effective for predicting easy-to-perform behaviors, but its long-term impact is significantly lower for easy-to-perform behaviors than brand attachment.

The use of consumer durables in the study and samples from only one country restricts the generalizability of the findings.

The complementary roles of customer satisfaction and brand attachment are highlighted. Only satisfying customers is not enough to engage customers in behaviors that require resources such as money, time and energy for the brand.

A comparative study on the long-term effectiveness of two established relational metrics in explaining different customer behaviors varying in their performance difficulty in an understudied domain of durable products.

This study focuses on Aaker's Brand Equity Model, to check the effect of brand equity determinants on booking intention (BI) for ridesharing in India. The study also explores the moderation of ecologically conscious consumer behavior (ECCB) on the multiplicative effect of brand awareness (BAw), brand association (BA) and perceived quality (PQ) in influencing the BI.

Responses from 393 Indian ridesharing users were collected using judgmental sampling and were analyzed using Hayes Process macro.

The study found a direct relationship between BAw and BI, BAw and BA, BAw and PQ, BA and PQ, PQ and BI, and BA and BI. Findings revealed mediation of BA in BAw and BI relationship and PQ in BAw and BI relationship. Results revealed that BA and PQ serially mediate BAw and BI relationship. ECCB moderates PQ and BI relationship but not BAw and BI relationship.

Serial mediation and moderated-mediation results draw various theoretical implications for determinants of Aaker's Brand Equity model and ECCB.

The research has several implications for managers in view of brand equity determinants and ECCB. The study also contributes to policy implications.

Study's novel contributions are mediation, serial mediation between brand equity determinants, and moderation of ECCB between BAw and BI for ridesharing.

The purpose of this paper is to explore the role of storytelling in data interpretation, decision-making and individual-level adoption of business analytics (BA).

Existing theory is extended by introducing the concept of BA data-driven storytelling and by synthesizing insights from BA, storytelling, behavioral research, linguistics, psychology and neuroscience. Using theory-building methodology, a model with propositions is introduced to demonstrate the relationship between storytelling, data interpretation quality, decision-making quality, intention to use BA and actual BA use.

BA data-driven storytelling is a narrative sensemaking heuristic positively influencing human behavior towards BA use. Organizations deliberately disseminating BA data-driven stories can improve the quality of individual data interpretation and decision-making, resulting in increased individual utilization of BA on a daily basis.

To acquire a deeper understanding of BA data-driven storytelling in behavioral operational research (BOR), future studies should test the theoretical model of this study and focus on exploring the complexity and diversity in individual attitudes toward BA.

This study provides practical guidance for business practitioners who struggle with interpreting vast amounts of complex data, making data-driven decisions and incorporating BA into daily operations.

This cross-disciplinary study develops existing BOR, storytelling and BA literature by showing how a novel BA data-driven storytelling approach can facilitate BA adoption in organizations.

There are various risks that can derail the adoption of business analytics (BA) practice in a telecom service provider (TSP) thereby jeopardising the possibility to increase profitability and improved customer experience. The purpose of this paper is to analyse different associated risks using situation-actor-process, learnings-actions-performance (SAP-LAP) model and build mitigation strategies for the adoption. Also the risks are ranked using the interactive ranking process (IRP) methodology and the dominating matrix provides insight to the actions and actors that need attention to improve the processes and performance.

A case study of a TSP (X1) was analysed through close interactions with experts within the company and externals involved in setting up the BA practice in X1. Using the SAP-LAP framework risks were identified and then the IRP was used to rank the actors w.r.t performance and actions w.r.t processes.

X1 has taken initiatives for setting up the BA practice in order to improve the profitability and customer experience through data insights. The suggested conceptual SAP-LAP model helps to address risk mitigation strategies for its adoption and the IRP frameworks helps in understanding the prioritisation matrix (using the ranking) to be considered to mitigate the risks.

The IRP framework is limited to certain relationships between actors, w.r.t processes and actions w.r.t performance for the prioritisation matrix of identified risks. This has scope to be further expanded to other relationships and therefore refining the findings. Also this approach could be used to study other industries too.

SAP-LAP model identifies the risks in adopting the BA practice in a TSP. The synthesis of SAP leads to LAP, which bridges the gap by suggesting improvement actions based on the learning from the present situation, actors and processes. IRP provides the prioritisation matrix for mitigating the risks by identifying the dominating factors.

BA practice plays a dominant role in a TSP. An approach to study the risks of its adoption using the SAP-LAP and IRP framework bridges the gap between the academic and corporate world. This paper is very relevant to managers involved in setting up a BA practice. For the academic, use of research model validates the identification of risks that are recognised in the corporate world and prioritising the risks that need to be addressed.

Looking at the practical experience of organizations pursuing knowledge management, it is found that their efforts are primarily focused on creating the conditions and the context that will enable knowledge creation. This need for developing enabling conditions and contexts was identified more than a decade ago when Nonaka and associates introduced the concept of “ba.” This paper aims to map the development of the concept of “ba” in a number of disciplines in order to understand its theoretical evolution and practical application.

A comprehensive search and evaluation of the literature resulted in a database of 135 papers, four dissertations and four books. Using content analysis, citation analysis, and concept mapping, four categories of research findings are identified that in turn suggest four groups of conditions for enabling knowledge creation.

The paper discusses each of these conditions (the social/behavioral, cognitive/epistemic, information systems/management, and strategy/structural), and introduces a framework that relates these conditions to the type of knowledge process and the level of interaction that characterize a knowledge management activity in the organization.

It is concluded that managing knowledge in organizations is fundamentally about creating an environment in the organization that is conducive to and encourages knowledge creation, sharing and use. Organizations interested in pursuing knowledge management and innovation may wish to be guided by the enabling conditions presented here that have been discovered over ten years of research. These conditions and the frameworks of which they are part can help managers to analyze, discuss, and introduce specific combinations of enabling factors that are tailored according to the type of knowledge process and level of interaction needed to address a particular knowledge problem or vision.

This study aims to analyze the contribution of business angels (BAs), defined as wealthy individuals who provide risk capital to entrepreneurial firms without family connections, in Estonia, an emerging country in Eastern Europe.

This study compared the data of the financial and non-financial performance of BA-backed firms with that of “twin” non-BA-backed firms, extracted from all Estonian unlisted firms using propensity score matching.

The results of the comparative analysis showed that BAs were patient enough to allow their investees to spend for future growth rather than squeezing profit from increased sales. This is not patience without options for a BA in a situation in which the investee's sales are deteriorating, but rather deliberate patience in the presence of options for a BA where the investee's sales growth is increasing, contrary to conventional investor behavioral principles. It also showed that BAs' post-investment involvement did not make a direct contribution to their investees' sales, although BAs contributed to the sales increase through BA funding itself.

This study has two unique research contributions. First, it shows that the patience of BAs was not a by-product but was intentional, and adds to the debate on whether BAs are patient investors. Second, there are only a few studies on the contribution of BAs to their investees in emerging countries; this study aims to help fill this research gap using the case of Estonia.