Organizational capabilities that enable big data and predictive analytics diffusion and organizational performance

2019 ◽  
Vol 57 (8) ◽  
pp. 1734-1755 ◽  
Author(s):  
Deepa Mishra ◽  
Zongwei Luo ◽  
Benjamin Hazen ◽  
Elkafi Hassini ◽  
Cyril Foropon
Keyword(s):  
Big Data ◽  
Organizational Performance ◽  
Structural Equation ◽  
Predictive Analytics ◽  
Current Knowledge ◽  
Organizational Capabilities ◽  
Equation Modeling ◽  
Business Decisions ◽  
Content Type ◽  
It Flexibility

Purpose Big data and predictive analytics (BDPA) has received great attention in terms of its role in making business decisions. However, current knowledge on BDPA regarding how it might link organizational capabilities and organizational performance (OP) remains unclear. Drawing from the resource-based view, the purpose of this paper is to propose a model to examine how information technology (IT) deployment (i.e. strategic IT flexibility, business–BDPA partnership and business–BDPA alignment) and HR capabilities affect OP through BDPA. Design/methodology/approach To test the proposed hypotheses, structural equation modeling is applied on survey data collected from 159 Indian firms. Findings The results show that BDPA diffusion mediates the influence of IT deployment and HR capabilities on OP. In addition, there is a direct effect of IT deployment and HR capabilities on BDPA diffusion, which also has a direct relationship with OP. Originality/value Through this study, authors demonstrate that IT deployment and HR capabilities have an indirect impact on OP through BDPA diffusion.

scholarly journals Impact of big data and predictive analytics capability on supply chain sustainability

2018 ◽  
Vol 29 (2) ◽  
pp. 513-538 ◽  
Author(s):  
Shirish Jeble ◽  
Rameshwar Dubey ◽  
Stephen J. Childe ◽  
Thanos Papadopoulos ◽  
David Roubaud ◽  
...  
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Theoretical Model ◽  
Performance Measures ◽  
Structural Equation ◽  
Predictive Analytics ◽  
Equation Modeling ◽  
Sustainable Supply Chain ◽  
Content Type ◽  
The Impact

PurposeThe purpose of this paper is to develop a theoretical model to explain the impact of big data and predictive analytics (BDPA) on sustainable business development goal of the organization.Design/methodology/approachThe authors have developed the theoretical model using resource-based view logic and contingency theory. The model was further tested using partial least squares-structural equation modeling (PLS-SEM) following Peng and Lai (2012) arguments. The authors gathered 205 responses using survey-based instrument for PLS-SEM.FindingsThe statistical results suggest that out of four research hypotheses, the authors found support for three hypotheses (H1-H3) and the authors did not find support forH4. Although the authors did not find support forH4(moderating role of supply base complexity (SBC)), however, in future the relationship between BDPA, SBC and sustainable supply chain performance measures remain interesting research questions for further studies.Originality/valueThis study makes some original contribution to the operations and supply chain management literature. The authors provide theory-driven and empirically proven results which extend previous studies which have focused on single performance measures (i.e. economic or environmental). Hence, by studying the impact of BDPA on three performance measures the authors have attempted to answer some of the unresolved questions. The authors also offer numerous guidance to the practitioners and policy makers, based on empirical results.

Strategic factors and significance of organizational innovation and organizational learning in organizational performance

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bahadur Ali Soomro ◽  
Shahnawaz Mangi ◽  
Naimatullah Shah
Keyword(s):  
Organizational Learning ◽  
Organizational Performance ◽  
Structural Equation ◽  
Organizational Innovation ◽  
Shared Vision ◽  
Organizational Capabilities ◽  
Equation Modeling ◽  
Content Type ◽  
Strategic Factors ◽  
The Impact

PurposeThe study investigates the experience and significance of strategic factors in organizational innovation (OI) and organizational learning (OL). The study also examines the impact of OI and OL on organizational performance.Design/methodology/approachThe study takes a quantitative approach, with cross-sectional data collected to achieve its purpose. The respondents are CEOs of different organizations. The data collection tool, a survey questionnaire, is applied to a random sample. In total, data from 360 usable cases are analyzed to infer the results.FindingsAfter employing structural equation modeling (SEM), the study findings reveal the positive and significant impact of strategic factors on OI and OL, with these factors comprising personal mastery, transformational leadership, a shared vision, proactivity, and the environment. Furthermore, OI and OL have a positive and significant impact on organizational performance.Practical implicationsThe study's findings may reinforce knowledge of the different strategic factors/capabilities needed to attain a satisfactory level of organizational capabilities and, consequently, may increase organizational performance and encourage entrepreneurship. An investigation of these factors may impart benefits to an organization, such as becoming more innovative or providing a boost to learning. Managers of organizations may generate circumstances to make it easier to achieve the growth of these strategic factors/capabilities.Originality/valueThe study's findings may help to develop a better understanding of strategic factors, OI, OL, and organizational performance, particularly in a developing country context.

An empirical assessment of the antecedents of electronic-business implementation and the resulting organizational performance

2016 ◽  
Vol 26 (3) ◽  
pp. 661-688 ◽  
Author(s):  
Mahmoud Mohammad Migdadi ◽  
Mohammed Khair Saleem Abu Zaid ◽  
Omar Salameh Al-Hujran ◽  
Anas Mustafa Aloudat
Keyword(s):  
Knowledge Management ◽  
Organizational Performance ◽  
Structural Equation ◽  
Organizational Factors ◽  
Organizational Capabilities ◽  
Equation Modeling ◽  
Future Research ◽  
Management Support ◽  
Unified Framework ◽  
Content Type

Purpose – The purpose of this paper is to propose and empirically test a unified framework that captures the antecedents of e-business implementation, that is; organizational factors which is decomposed into organizational capabilities (training availability, technical expertise, knowledge level), knowledge management capabilities (knowledge acquisition, application, and sharing), adhocracy culture, and top management support, e-business implementation, and organizational performance (efficiency, sales performance, customer satisfaction, relationship development). Design/methodology/approach – Data from a survey of 258 top managers in Saudi Arabian enterprises were collected to empirically test the proposed research model. Additionally, the statistical techniques employed included a confirmatory factor analysis to examine the reliability and validity of the measurement model, and structural equation modeling using AMOS is utilized to test the hypotheses. Findings – The findings of this study suggest that organizational factors influence e-business implementation. Moreover, e-business implementation affects organizational performance. Research limitations/implications – This study did not investigate all organizational factors and knowledge management processes. Future research could assess the influence of additional factors such as technology and environment contexts on e-business implementation. Practical implications – Owners/managers considering e-business implementation would be best to focus on internal (organizational) factors and their interaction within and beyond the organization, rather than focussing exclusively on technological considerations. Originality/value – This study is significant for at least two reasons: it determines the key antecedents to successful business implementation based on organizational factors and it helps to understand the effects of e-business implementation on organizational performance.

Network resource meets organizational agility

2020 ◽  
Vol 58 (1) ◽  
pp. 58-75 ◽  
Author(s):  
Hsian-Ming Liu ◽  
Hsin-Feng Yang
Keyword(s):  
Organizational Performance ◽  
Structural Equation ◽  
Joint Effect ◽  
Business Environment ◽  
Organizational Capabilities ◽  
Equation Modeling ◽  
Organizational Agility ◽  
Network Resource ◽  
Content Type ◽  
Interfirm Network

Purpose The purpose of this paper is to propose that a firm could exploit the ties of interfirm network to access external network resources (NR) to assist its sensing and responding capabilities for the variability of business environment, thereby leading to superior organizational performance. Design/methodology/approach This study uses the survey data collected from 260 small- and medium-sized enterprises (SMEs) in Taiwan to examine the causal effects of hypotheses testing. By adopting structural equation modeling technology, the direct and mediating effects among the NR, sensing capability (SC), responding capability (RC) and firm performance (FP) are explored. Findings The result of this paper shows that a firm’s NR and its organizational capabilities are critical antecedents of FP. Moreover, the mediating testing identifies NR and FP as being mediated by a firm’s organizational agility (OA) and RC. Practical implications The findings of this paper provide practical evidence that a SME could gain benefits and advantages from the joint effect of integrating NR and OA to compete with global conglomerates. Thus, a SME must put more effort into developing and maintaining its interfirm network and then figuring out its effect with its internal agility process in order to surmount unexpected changes, create advantages of the first-mover and innovation activities and boost the FP. Originality/value This paper combines external NR and internal OA and offers a practical strategy to a SME, creating a unique competitive advantage for further development in a dynamic business environment.

Linking ethical leadership to administrative innovation in Ethiopian banks: the mediating role of knowledge process capabilities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gedif Tessema Sinshaw ◽  
Atul Shiva ◽  
Manjit Singh
Keyword(s):  
Ethical Leadership ◽  
Structural Equation ◽  
Banking Sector ◽  
Organizational Capabilities ◽  
Equation Modeling ◽  
Mediation Model ◽  
Knowledge Process ◽  
Content Type ◽  
Mediating Role

PurposeThis paper aims to examine the mediating role of knowledge process capability (KPC) between ethical leadership (EL) and administrative innovation (AI) in the banking sector of Ethiopia.Design/methodology/approachThe study was conducted by a standardized questionnaire survey to collect the data from 266 employees of Commercial Bank of Ethiopia in 93 branches. The study employed structural equation modeling approach with Analyzing Moment of Structures 23.0 to test the hypothesized mediation model.FindingsThe results of this investigation disclose that EL has a significant and direct effect on AI and KPC. KPC also influences AI significantly.Originality/valueThe study revealed that KPC plays a partial mediating role in linking EL to AI, which is a new contribution to the existing literature of EL. This dimension can provide new dimensions to design organizational leadership which is based on sustainability paradigm. This can strengthen the organizational capabilities aiming to increasing innovative behaviors in order to have a deep-seated strategy.

The effects of knowledge creation process on organizational performance using the BSC approach: the mediating role of intellectual capital

2018 ◽  
Vol 22 (4) ◽  
pp. 802-823 ◽  
Author(s):  
Gholamhossein Mehralian ◽  
Jamal A. Nazari ◽  
Peivand Ghasemzadeh
Keyword(s):  
Organizational Performance ◽  
Intellectual Capital ◽  
Knowledge Creation ◽  
Structural Equation ◽  
Positive Impact ◽  
Equation Modeling ◽  
Success Factor ◽  
Content Type ◽  
Key Dimensions ◽  
The Relationship

PurposeKnowledge is a key success factor in achieving competitive advantage in the current fast-paced and uncertain economic environment. Several studies in the literature have analyzed the relationship between knowledge creation (KC) and organizational success; however, the mechanisms by which KC leads to accumulation of intellectual capital (IC) and thereby affects various dimensions of organizational performance are understudied. The purpose of this paper is to examine how KC and IC and their relationship influence key dimensions of organizational performance.Design/methodology/approachA research model was developed and tested based on the literature in the areas of KC, IC and organizational performance. This study uses a survey sent to companies in an intensive knowledge-based industry. The balanced scorecard (BSC) approach was used to measure the key dimensions of organizational performance.FindingsThe results from structural equation modeling (SEM) on 470 completed questionnaires received from the pharmaceutical companies in Iran reveal that KC activities lead to the accumulation of organizational IC and IC has a crucial and positive impact on the BSC. Furthermore, the results from the path analysis indicate that IC mediates the effects of KC on the BSC.Practical implicationsThe findings of this study contribute to the extant literature on the relationship between knowledge and organizational performance by demonstrating that knowledge and KC lead to performance when organizations utilize KC activities and leverage them to accumulate IC. Once used effectively, IC will result in a better performance in the knowledge-intensive environments.Originality/valueThis is the first study that investigates how KC contributes to firm performance by incorporating the mediating impact of IC on the BSC. The proposed model and results will help organizations to identify the mechanisms through which KC initiatives improve organizational performance.

scholarly journals Revisiting the relationship between formal planning process and planning effectiveness

2018 ◽  
Vol 30 (2) ◽  
pp. 1016-1034 ◽  
Author(s):  
Said Elbanna ◽  
Tamer H. Elsharnouby
Keyword(s):  
Decision Making ◽  
United Arab Emirates ◽  
Structural Equation ◽  
Planning Process ◽  
Price Volatility ◽  
Organizational Capabilities ◽  
Equation Modeling ◽  
Content Type ◽  
Tourism Sector ◽  
The Impact

Purpose The purpose of this study is to address a timely research question by clarifying whether formal planning is a worthy approach for hotels. In so doing, the authors developed a theoretical model that extends prior research by exploring how the formal planning process influences organizational capabilities and decision-making style. The model also examines the impact of the three identified factors on planning effectiveness. Design/methodology/approach Data were collected from 175 hotels located in United Arab Emirates (UAE) and Qatar and hypotheses were tested using structural equation modeling (SEM). Findings The study concludes that the practice of formal planning in the tourism sector does matter and both organizational capabilities and decision-making style are important factors in predicting planning effectiveness. Research limitations/implications Generalizations to organizations operating in other sectors, such as manufacturing or government sectors, should be drawn cautiously. Practical implications Taking into account oil price volatility and serious political crises in the region, this study provides several insights to hotel managers into how the formal planning process can influence planning effectiveness. Originality/value The findings enrich the debate on the role of formal planning in the tourism sector, which has been relatively devoid of similar studies.

A structural equation model for big data adoption in the healthcare supply chain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dindayal Agrawal ◽  
Jitender Madaan
Keyword(s):  
Factor Analysis ◽  
Big Data ◽  
Supply Chain ◽  
Latent Variables ◽  
Structural Equation ◽  
Equation Model ◽  
Equation Modeling ◽  
Data Governance ◽  
Social Perspective ◽  
Content Type

PurposeThe purpose of this study is to examine the barriers to the implementation of big data (BD) in the healthcare supply chain (HSC).Design/methodology/approachFirst, the barriers concerning BD adoption in the HSC were found by conducting a detailed literature survey and with the expert's opinion. Then the exploratory factor analysis (EFA) was employed to categorize the barriers. The obtained results are verified using the confirmatory factor analysis (CFA). Structural equation modeling (SEM) analysis gives the path diagram representing the interrelationship between latent variables and observed variables.FindingsThe segregation of 13 barriers into three categories, namely “data governance perspective,” “technological and expertise perspective,” and “organizational and social perspective,” is performed using EFA. Three hypotheses are tested, and all are accepted. It can be concluded that the “data governance perspective” is positively related to “technological and expertise perspective” and “organizational and social perspective” factors. Also, the “technological and expertise perspective” is positively related to “organizational and social perspective.”Research limitations/implicationsIn literature, very few studies have been performed on finding the barriers to BD adoption in the HSC. The systematic methodology and statistical verification applied in this study empowers the healthcare organizations and policymakers in further decision-making.Originality/valueThis paper is first of its kind to adopt an approach to classify barriers to BD implementation in the HSC into three distinct perspectives.

Effects of internal brand knowledge dissemination on the employee

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rafael Bravo ◽  
José Miguel Pina ◽  
Beatriz Tirado
Keyword(s):  
Structural Equation ◽  
Banking Sector ◽  
Brand Management ◽  
Current Knowledge ◽  
Knowledge Dissemination ◽  
Equation Modeling ◽  
Content Type ◽  
Brand Knowledge ◽  
Brand Authenticity ◽  
Employee Identification

PurposeThis study aims to examine the internal brand knowledge dissemination process in the banking sector and its effects on employees. Specifically, it focuses on the key roles of employee identification with both the organization and with the customer as antecedents of behaviors supportive of the brand, i.e. employee citizenship behaviors and recommendation behaviors.Design/methodology/approachAn empirical study was carried out in a major Spanish bank. Data gathered from a survey of 315 employees were analyzed through structural equation modeling.FindingsThe results showed that employees' perceptions of brand value congruence are key in explaining their identification with both the organization and with the customer. However, the employees' perceptions of the brand's authenticity explained only their recommendations of the bank as a good place to work.Originality/valueThese findings contribute to the advance in the current knowledge of the role of variables such as brand authenticity and employee–customer identification in internal brand management. From a managerial viewpoint, the results provide insights into the importance of employees' perceptions and attitudes when it comes to brand knowledge dissemination.

scholarly journals Understanding supply chain analytics capabilities and agility for data-rich environments

2019 ◽  
Vol 39 (6/7/8) ◽  
pp. 887-912 ◽  
Author(s):  
Samuel Fosso Wamba ◽  
Shahriar Akter
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Structural Equation ◽  
Equation Modeling ◽  
Future Research ◽  
Chain Management ◽  
Content Type ◽  
Supply Chain Agility ◽  
The Usa

Purpose Big data-driven supply chain analytics capability (SCAC) is now emerging as the next frontier of supply chain transformation. Yet, very few studies have been directed to identify its dimensions, subdimensions and model their holistic impact on supply chain agility (SCAG) and firm performance (FPER). Therefore, to fill this gap, the purpose of this paper is to develop and validate a dynamic SCAC model and assess both its direct and indirect impact on FPER using analytics-driven SCAG as a mediator. Design/methodology/approach The study draws on the emerging literature on big data, the resource-based view and the dynamic capability theory to develop a multi-dimensional, hierarchical SCAC model. Then, the model is tested using data collected from supply chain analytics professionals, managers and mid-level manager in the USA. The study uses the partial least squares-based structural equation modeling to prove the research model. Findings The findings of the study identify supply chain management (i.e. planning, investment, coordination and control), supply chain technology (i.e. connectivity, compatibility and modularity) and supply chain talent (i.e. technology management knowledge, technical knowledge, relational knowledge and business knowledge) as the significant antecedents of a dynamic SCAC model. The study also identifies analytics-driven SCAG as the significant mediator between overall SCAC and FPER. Based on these key findings, the paper discusses their implications for theory, methods and practice. Finally, limitations and future research directions are presented. Originality/value The study fills an important gap in supply chain management research by estimating the significance of various dimensions and subdimensions of a dynamic SCAC model and their overall effects on SCAG and FPER.

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