scholarly journals How do top- and bottom-performing companies differ in using business analytics?

2017 ◽  
Vol 30 (6) ◽  
pp. 874-892 ◽  
Author(s):  
Guangming Cao ◽  
Yanqing Duan

Purpose Business analytics (BA) has attracted growing attention mainly due to the phenomena of big data. While studies suggest that BA positively affects organizational performance, there is a lack of academic research. The purpose of this paper, therefore, is to examine the extent to which top- and bottom-performing companies differ regarding their use and organizational facilitation of BA. Design/methodology/approach Hypotheses are developed drawing on the information processing view and contingency theory, and tested using multivariate analysis of variance to analyze data collected from 117 UK manufacture companies. Findings Top- and bottom-performing companies differ significantly in their use of BA, data-driven environment, and level of fit between BA and data-drain environment. Practical implications Extensive use of BA and data-driven decisions will lead to superior firm performance. Companies wishing to use BA to improve decision making and performance need to develop relevant analytical strategy to guide BA activities and design its structure and business processes to embed BA activities. Originality/value This study provides useful management insights into the effective use of BA for improving organizational performance.

2019 ◽  
Vol 43 (2) ◽  
pp. 204-222 ◽  
Author(s):  
Valeriia Boldosova ◽  
Severi Luoto

Purpose 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). Design/methodology/approach 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. Findings 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. Research limitations/implications 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. Practical implications 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. Originality/value 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.


2019 ◽  
Vol 25 (3) ◽  
pp. 553-578 ◽  
Author(s):  
Kevin Daniel André Carillo ◽  
Nadine Galy ◽  
Cameron Guthrie ◽  
Anne Vanhems

Purpose The purpose of this paper is to emphasize the need to engender a positive attitude toward business analytics in order for firms to more effectively transform into data-driven businesses, and for business schools to better prepare future managers. Design/methodology/approach This paper develops and validates a measurement instrument that captures the attitude toward business statistics, the foundation of business analytics. A multi-stage approach is implemented and the validation is conducted with a sample of 311 students from a business school. Findings The instrument has strong psychometric properties. It is designed so that it can be easily extrapolated to professional contexts and extended to the entire domain of business analytics. Research limitations/implications As the advent of a data-driven business world will impact the way organizations function and the way individuals think, work, communicate and interact, it is crucial to engage a transdisciplinary dialogue among domains that have the expertise to help train and transform current and future professionals. Practical implications The contribution provides educators and organizations with a means to measure and monitor attitudes toward statistics, the most anxiogenic component of business analytics. This is a first step in monitoring and developing an analytics mindset in both managers and students. Originality/value By demonstrating how the advent of the data-driven business era is transforming the DNA and functioning of organizations, this paper highlights the key importance of changing managers’ and all employees’ (to a lesser extent) mindset and way of thinking.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Timothy Shea ◽  
Syed Aktharsha Usman ◽  
Sengottuvel Arivalagan ◽  
Satyanarayana Parayitam

Purpose The purpose of this study is to empirically examine knowledge management (KM) practices as a moderator in the relationship between organizational culture and performance. The effect of four types of organizational culture on organizational performance was studied. In addition to direct effects, most importantly, KM practices as a moderator in strengthening the culture-performance relationship were empirically examined. Design/methodology/approach A carefully crafted survey instrument was distributed and data was collected from 1,255 respondents from 10 information technology companies in India. After checking the psychometric properties of the instrument, this paper performs hierarchical regression to test hypotheses. Findings The results reveal that: cooperative culture, innovative culture, consistent culture and effectiveness culture were all positively and significantly related to organizational performance; KM practices were positively and significantly related to organizational performance, KM practices moderate the relationship between various dimensions of organizational culture and organizational performance. Research limitations/implications As with any survey-based research, the present study suffers from the problems associated with self-report measures. These are common method bias and social desirability bias. However, this study attempts to minimize these limitations by following appropriate statistical techniques. Practical implications This study contributes to both practicing managers and the literature on KM and organizational culture. The study suggests that managers use KM practices, which are all-pervasive and very important for improving organizational performance. The results highlight the importance of implementing KM practices in organizations. Originality/value This study provides new insights into the importance of KM practices in achieving sustained competitive advantage by achieving organizational effectiveness. To the knowledge, the importance of KM practices is underemphasized in organizational culture research.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sanjana Mondal ◽  
Kaushik Samaddar

PurposeThe paper aims to explore the various dimensions of human factor relevant for integrating data-driven supply chain quality management practices (DDSCQMPs) with organizational performance. Keeping the transition phase from “Industry 4.0” to “Industry 5.0” in mind, the paper reinforces the role of the human factor and critically discusses the issues and challenges in the present organizational setup.Design/methodology/approachFollowing the grounded theory approach, the study arranged in-depth interviews and focus group sessions with industry experts from various service-oriented firms in India. Dimensions of human factor identified from there were grouped together through a morphological analysis (MA), and interlinkages between them were explored through a cross-consistency matrix.FindingsThis research work identified 20 critical dimensions of human factor and have grouped them under five important categories, namely, cohesive force, motivating force, regulating force, supporting force and functional force that drive quality performance in the supply chain domain.Originality/valueIn line with the requirements of the present “Industry 4.0” and the forthcoming “Industry 5.0”, where the need to collaborate human factor with smart system gets priority, the paper made a novel attempt in presenting the critical human factors and categorizing them under important driving forces. The research also contributed in linking DDSCQMPs with organizational performance. The proposed framework can guide the future researchers in expanding the theoretical constructs through initiating further cross-cultural studies across industries.


2018 ◽  
Vol 25 (1) ◽  
pp. 47-64 ◽  
Author(s):  
Vanessa Pires ◽  
Guilherme Trez

Purpose The purpose of this paper is to discuss the different approaches to the corporate reputation construct, in order to identify a comprehensive definition that can be used for measurement purposes, gaps identified by previous literature identified. Design/methodology/approach This is a theoretical essay. The authors analyzed studies that involve the relationship between corporate reputation and organizational performance, and the attributes of national and international corporate reputation ratings. Findings The authors identified a more comprehensive definition for the reputation construct, and indicated courses for the construct’s measurement, by considering: the judgment by the stakeholders (internal, suppliers, clients and the financial market); periodical evaluations under different organizational perspectives; attention to theoretical assumptions, among other aspects. Research limitations/implications The study is a theoretical paper that presents that the research field has many definitions that cannot be used interchangeably. It indicated how the reputation construct should be operationalized for measurement purposes. This study presented a reflection on the relationship between corporate reputation and performance, showing that it is not a settled topic in the academy. Practical implications The study advances the understanding of the reputation construct measurement, considering the adopted definition and the discussion of the attributes of the main ratings on corporate reputation. The adoption of a measurement method that takes into account the definition used in this study and the features of the methodologies discussed will improve the corporate reputation assessment. Social implications Literature indicates that a good corporate reputation can affect organizational performance and the inverse relationship is also true. As a social implication, it is extremely relevant to improve the understanding the definition and measurement methods of this construct. Originality/value This study discusses one of the most important intangible resources for organizations, contributing to the understanding of the difference between the market value and the book value of public companies. Besides it should be considered that there is one lack of a definition directly related to the measurement of the reputation construct in the literature, a gap in which this study contributes.


2018 ◽  
Vol 19 (2) ◽  
pp. 294-320 ◽  
Author(s):  
Kaveh Asiaei ◽  
Ruzita Jusoh ◽  
Nick Bontis

PurposeThe purpose of this paper is to empirically explore how the effect of intellectual capital (IC) on organizational performance is indirect and mediated through performance measurement (PM) systems.Design/methodology/approachData were collected from a survey of 128 chief financial officers of Iranian publicly listed companies. Hypotheses were tested using partial least squares regression, a structural modeling technique which is appropriate for highly complex predictive models.FindingsResults from the structural model indicate that, in general, companies with a higher level of IC place a premium on the balanced use of PM systems in a diagnostic and interactive style. Furthermore, the results provide some evidence that IC is indirectly associated with organizational performance through the intervening variable of the balanced use of interactive and diagnostic PM systems.Practical implicationsThis study sheds light on the issue of how senior management should use PM systems to take full advantage of intellectual assets which could lead to improved organizational performance.Originality/valueThis is the first study of its kind to synthesize a model which examines IC, PM systems, and organizational performance. Although the effect of different types of intangible assets on performance has been substantially examined in the literature, less effort has been devoted to understanding the role of PM systems in leveraging an organization’s IC.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Deonir De Toni ◽  
Ricardo Antonio Reche ◽  
Gabriel Sperandio Milan

PurposeThis study aims to propose and test a theoretical model that contemplates antecedent constructs of organizational performance, as well as the interaction among them.Design/methodology/approachA survey was conducted with 151 Brazilian exclusive stores in the planned furniture segment. The data analysis was performed using two statistical techniques, focused on hierarchical regression and mediation and moderation tests.FindingsAmong the main results of the survey are the direct and significant effects of value-based pricing and innovation strategies and the indirect effect of market orientation on market performance. As for moderation, the authors identified that profitability moderates the relationship between value-based pricing and market performance, and the degree of sales projection moderates the relationship between market orientation and market performance.Originality/valueThe insertion of value-based pricing as a variable in quantitative analysis of market performance meets the lack of academic research. When the constructs are combined or interacted with each other, they have a stronger and more significant effect on performance. In addition, this work proposes two moderating variables that can interfere in the relationship between the analyzed constructs (profitability and sales projection). It was identified that the relationships between the constructs and that the orientation towards the market (despite not directly impacting market performance) interfere with the relationship based on mediation of variable innovation strategies and value-based pricing.


2020 ◽  
Vol 12 (5) ◽  
pp. 621-642
Author(s):  
Abeer Mahrous ◽  
Mohamed Ashraf Genedy ◽  
Morris Kalliny

Purpose The purpose of this paper is to contribute to the entrepreneurial marketing (EM) paradigm by empirically investigating the relationship between intra-organizational environment, EM intensity (EMI) and organizational performance in an emerging market context. Specifically, the paper identifies the elements of the intra-organizational environment that enhances EMI and also examines the impact of EMI on organizational performance. Design/methodology/approach The data were collected from large-sized companies in Egypt. Data were analyzed by using path analysis on Smart-PLS. Findings The findings suggest that the characteristics of the intra-organizational environment that support developing and increasing EMI in large-sized companies in emerging markets are cooperative competency, deep locus of planning and institutional support. Also, it was found that the long planning horizon hinders EMI. Finally, it was found that EMI is positively related to organizational performance and competitive advantage. Practical implications The study provides guidelines for managers of large-sized organizations, especially in emerging economies, on how to develop the intra-organizational environment to enhance EMI. Originality/value The study of EMI received little or no attention in previous research. Also, there is a paucity of empirical research on the impact of the intra-organizational environment on EMI and also on the impact of EMI on the organizational performance of large-sized companies in emerging markets. Therefore, the results of this research are a step toward filling these gaps.


Author(s):  
Rabia Imran ◽  
Raghad Ezzeldin Aldaas

PurposeThe current research is aimed at exploring entrepreneurial leadership (EL) as a mediator in perceived organizational support (POS) and organizational performance (OP) relationship. Furthermore, it also examined the impact of POS and entrepreneurial leadership on the performance of an organization.Design/methodology/approachA purposively selected sample of 216 respondents from the SME sector of Oman was chosen for the study.FindingsThe results revealed that POS and entrepreneurial leadership positively and significantly have an effect on organizational performance. Moreover, the hypothesized role of entrepreneurial leadership as a mediator between POS and OP relationship was also supported.Research limitations/implicationsIn spite of the novelty of the research, it was limited due to a few reasons. First, the research design is cross-sectional. Second, the research only focused SME sector. This research only focused on entrepreneurial leadership as a mediator, whereas, other mediators could have been explored as well.Originality/valueThe research on POS and organizational performance relationship is still in its exploration stage. Past research indicate that POS has an effect on different outcomes within an organization, including its performance. However, still, the research on the entrepreneurial leadership process is quite scarce. The current research will explore it in the context of Oman, where there is a dire need to establish SME sector performance. The unique combination between POS, entrepreneurial leadership and performance in the SME sector of Oman marks the novelty of the current research. This study contributes to the SME’s literature and it is among the pioneer studies exploring the mediating role of entrepreneurial leadership in the relationship between POS and OP.


2019 ◽  
Vol 33 (1) ◽  
pp. 214-237
Author(s):  
Hannu Hannila ◽  
Joni Koskinen ◽  
Janne Harkonen ◽  
Harri Haapasalo

Purpose The purpose of this paper is to analyse current challenges and to articulate the preconditions for data-driven, fact-based product portfolio management (PPM) based on commercial and technical product structures, critical business processes, corporate business IT and company data assets. Here, data assets were classified from a PPM perspective in terms of (product/customer/supplier) master data, transaction data and Internet of Things data. The study also addresses the supporting role of corporate-level data governance. Design/methodology/approach The study combines a literature review and qualitative analysis of empirical data collected from eight international companies of varying size. Findings Companies’ current inability to analyse products effectively based on existing data is surprising. The present findings identify a number of preconditions for data-driven, fact-based PPM, including mutual understanding of company products (to establish a consistent commercial and technical product structure), product classification as strategic, supportive or non-strategic (to link commercial and technical product structures with product strategy) and a holistic, corporate-level data model for adjusting the company’s business IT (to support product portfolio visualisation). Practical implications The findings provide a logical and empirical basis for fact-based, product-level analysis of product profitability and analysis of the product portfolio over the product life cycle, supporting a data-driven approach to the optimisation of commercial and technical product structure, business IT systems and company product strategy. As a virtual representation of reality, the company data model facilitates product visualisation. The findings are of great practical value, as they demonstrate the significance of corporate-level data assets, data governance and business-critical data for managing a company’s products and portfolio. Originality/value The study contributes to the existing literature by specifying the preconditions for data-driven, fact-based PPM as a basis for product-level analysis and decision making, emphasising the role of company data assets and clarifying the links between business processes, information systems and data assets for PPM.


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