Technology adoption and company performance

2018 ◽  
Vol 22 (2) ◽  
pp. 143-161
Author(s):  
Yeong-Wha Sawng ◽  
Yongjae Park ◽  
Seok-Hong Jo ◽  
Seung-Lak Park
Keyword(s):  
Performance Index ◽  
Strategic Decision ◽  
Equation Modeling ◽  
Company Performance ◽  
Relative Importance ◽  
Smart Technology ◽  
Content Type ◽  
Internal Process ◽  
Smart Technologies ◽  
Interdisciplinary Study

Purpose The purpose of this paper is to provide useful implications for Korean export companies to adopt the smart technology to improve their performance in the era of industrial convergence with the interdisciplinary study between trade and technology management. Design/methodology/approach This study followed the five-stage procedure and methods. In the first stage, measurement items were developed in four performance factors: leaning and growth, internal process, customer and finance. In the second stage, data were collected by conducting two types of surveys: first, for Korean export companies that have adopted Radio frequency identification (RFID) to test the proposed model and analyze the performance and second, for RFID experts of industry-university R&D cooperation to measure the relative importance of factors and items. In the third stage, the model was verified with structural equation modeling. In the fourth stage, AHP was used to analyze the relative importance of factors and items. In the fifth stage, post-RFID adoption performance in Korean export companies was measured by a formula for the performance index. Through these five-stage procedure and methods, the final performance improvement strategies and practical implications are presented in the conclusion. Findings The framework finds that the total score of RFID post-adoption on company performance proved relatively low, which indicates that the effect of this technology on export companies’ performance is still unsatisfactory. And financial performance proved to be ‘top priority’ area, which requires the most urgent effort for improvement since its importance was higher than learning and growth, internal process and customer performance—but nonetheless its performance index was the lowest. This study finds that strategic decision making is required for adopting smart technology in the perspective of technology convergence to improve the performance of companies among heterogeneous industries. Research limitations/implications Despite the significant results of this study alone, it also has limitations. Therefore, the direction of the future study is as follows: future research should focus on finding specific impact factors enhancing post-adoption of smart technologies including RFID performance by conducting empirical studies that identify the factors affecting post adoption of smart technologies rate directly or indirectly. Originality/value In the current global market environment, not only technological convergence in the same kind of industry but also industrial convergence in the different kinds of industries are essential to manufacturing and service companies including to export companies with perspective of Innovation. This study has the value as an interdisciplinary study to actually measure the performance of a company by industrial convergence through the theme of adoption of smart technology in export companies.

Deriving managerial implications through SERVQUAL gap elasticity in UAE banking

2018 ◽  
Vol 35 (4) ◽  
pp. 940-964 ◽  
Author(s):  
Mukesh Kumar ◽  
K.S. Sujit ◽  
Vincent Charles
Keyword(s):  
United Arab Emirates ◽  
Structural Equation ◽  
Service Providers ◽  
Traditional Approach ◽  
Equation Modeling ◽  
Relative Importance ◽  
Linear Regression Models ◽  
Content Type ◽  
Managerial Implications ◽  
The Right

Purpose The purpose of this paper is to propose the microeconomics concept of elasticity to estimate the SERVQUAL gap elasticity to derive important insights for service providers to develop the right strategies to bridge the overall gap in service. Design/methodology/approach The dimensions of SERVQUAL adopted from Parasuraman et al. (1988) and Kumar et al. (2009) are first verified for their unidimensionality using structural equation modeling and reliability in the context of United Arab Emirates banking industry. Furthermore, the technique of dominance analysis is used to derive the relative importance of dimensions for different groups of banks. Finally, the stepwise log-linear regression models are used to estimate the gap elasticity to measure the responsiveness of the overall SERVQUAL gap to a change in customers’ perception on different dimension. Findings The results reveal that the dimension which is prioritized as the most important dimension need not to be the one to be targeted under the resource constraint to react faster to the changes of customers’ banking behavior. Originality/value This is probably the first attempt to examine the service quality through gap elasticity. This method is especially useful when the traditional approach to measure relative importance of critical factors fails to clearly discriminate between two or more dimensions, which, in turn, may lead to failure in decision making to choose the right strategies to bridge the overall gap in the service.

Dynamic capabilities: interrelations and distinct effects on performance in low and high competitive intensity environments

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amiram Markovich ◽  
Kalanit Efrat ◽  
Daphne R. Raban
Keyword(s):  
Firm Performance ◽  
Structural Equation ◽  
Dynamic Capabilities ◽  
Equation Modeling ◽  
Company Performance ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Competitive Intensity ◽  
Content Type ◽  
Impact Performance

PurposeThis study aims to augment the understanding of dynamic capabilities (DCs) by exploring the interrelations among the DC categories (sensing, seizing, reconfiguring) and the distinct impact of each DC on firm performance under low and high levels of competitive intensity.Design/methodology/approachThe analysis is based on a cross-sectional survey of 139 managers in Israel. The data were collected through Web-based questionnaires using the Qualtrics software. A two-stage data analysis was performed using structural equation modeling (SEM).FindingsThe findings indicate that DCs follow a sequence in which sensing drives seizing, which, in turn, enhances reconfiguring. The effects of sensing are mainly manifested through its direct impact on seizing, with no evidence for an impact of sensing on company performance. Moreover, under low competitive intensity, only seizing appears to impact performance, while under high competitive intensity, reconfiguring joins seizing in improving firm performance.Originality/valueThe study's findings advance the debate on the direct vs sequential nature of DCs by indicating an internal DC sequence. Our research also advocates for a crucial role of sensing in enhancing DCs, regardless of the level of competitive intensity. Furthermore, this research expands the understanding of the consequences of DCs and enables the prioritization of DC categories under low and high competitive intensity.

Managing supplier flexibility performance as a relational exchange investment in make-to-stock versus make-to-order production environments

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Divesh Ojha ◽  
Jeff Shockley ◽  
Pamela P. Rogers ◽  
Danielle Cooper ◽  
Pankaj C. Patel
Keyword(s):  
Supply Chain ◽  
Information Quality ◽  
Supply Chain Integration ◽  
Equation Modeling ◽  
Relational Exchange ◽  
Relative Importance ◽  
Content Type ◽  
Make To Order ◽  
Production Environments ◽  
Make To Stock

Purpose This paper aims to develop and test a model of buyer–supplier relational investment that links supply chain integration (SCI) to supplier flexibility performance (SFLEX) advantages in different manufacturing environments. Relational stability (RS) and information quality (IQL) are viewed as key indicators of intermediating commitment investments in supplier relationships to help support supplier accommodations for special requests for order flexibility. The model is applied to investigate the relative importance of manufacturer relational investments with suppliers in both make-to-stock (MTS) and make-to-order (MTO) production environments. Design/methodology/approach A survey of 206 US manufacturing firms was used to test the proposed research model using structural equation modeling and multiple-group analysis techniques. Findings Social exchange investments in relationship stability and information quality are found to fully mediate the positive performance relationship between supply chain integration and supplier flexibility performance for manufacturers. However, the relative importance of each form of investment in enhancing supplier flexibility performance varies based on the buyer’s (manufacturer’s) order fulfillment environment (make-to-stock versus make-to-order). Originality/value The proposed model may assist manufacturers make more informed relational exchange investments and supply chain configuration decisions that most conducive to enhancing supplier flexibility performance for different production environments.

A multi-stage analysis of antecedents and consequences of knowledge management evolution

2014 ◽  
Vol 18 (1) ◽  
pp. 52-74 ◽  
Author(s):  
Hsiu-Fen Lin
Keyword(s):  
Knowledge Management ◽  
Organizational Performance ◽  
Balanced Scorecard ◽  
Equation Modeling ◽  
Research Model ◽  
Content Type ◽  
Internal Process ◽  
Km Strategy ◽  
Multi Stage ◽  
Antecedents And Consequences

Purpose – Drawing from knowledge-based view and balanced scorecard approach, this study seeks to develop an integrative model to examine the influence of two knowledge management (KM) strategies, codification KM strategy and personalization KM strategy, on the multi-stage KM evolution (KM adoption, implementation and institutionalization stages), which in turn affects balanced scorecard outcomes (financial performance, internal process performance, customer performance, and growth and learning performance). Design/methodology/approach – Survey data from 244 managers (currently and directly in charge of KM activities) in large Taiwanese firms were collected and used to test the research model using the structural equation modeling (SEM) approach. Findings – The results have revealed that both the codification KM strategy and personalization KM strategy are positive factors for stage-based KM evolution, but their relative importance differs across the three subsamples. Additionally, the results showed that the internal process and customer perspectives play a critical role in measuring performance during the earlier stages of KM evolution, while the financial and learning and growth perspectives emphasize the performance achievements from the latter stages. Practical implications – Since KM implementation is an evolutionary process, using both financial and non-financial measures to assess organizational performance through KM efforts, such as the four balanced scorecard perspectives, can take full advantage of stage-based KM evolution. The results indicate that the time-lag effect is critical to distinguishing different forms of organizational performance. Originality/value – Theoretically, this study aims to provide a research model that is capable of understanding the antecedents and consequences of staged-based KM evolution. From a managerial perspective, the findings of this study provide valuable guidelines to policy-makers and practitioners in accelerating KM evolution and achieving organizational performance.

scholarly journals A company performance index for motor vehicle manufacturers: company performance measurement with environmental concerns

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Qinqin Zeng ◽  
Wouter Beelaerts van Blokland ◽  
Sicco Santema ◽  
Gabriel Lodewijks
Keyword(s):  
Decision Making ◽  
Performance Index ◽  
Motor Vehicle ◽  
Geometric Mean ◽  
Linear Method ◽  
Data Availability ◽  
Environmental Concerns ◽  
Company Performance ◽  
Content Type ◽  
A Company

PurposeCurrent literature presents limited measurement methods of quantifying manufacturers' performance with environmental concerns. The purpose of this paper is to construct a company performance index for benchmarking motor vehicle manufacturers (MVMs) with environmental concerns.Design/methodology/approachMethods of constructing the index include regression analysis, a modified linear method for normalizing variables and a geometric mean for aggregating variables into a single index IMVM (index for MVMs). A case study is conducted in 12 MVMs from 2008 to 2017. A sensitivity analysis with the simple additive weighting method is performed to analyze how different aggregation methods affect the final value. The index IMVM is assessed through a benchmark with three existing indices.FindingsThree realistic considerations are identified from MVMs, based on which proper and transparent methods are chosen to construct the IMVM. The construction of the index IMVM has been assessed through a benchmark against the methodologies of three other indices. The results indicate that the new measurement is feasible and effective for MVMs to measure their company performance from an environmental perspective.Practical implicationsThe construction of the index IMVM can support policymakers with accurate statistics for decision-making. As a response to current imperative climate policies, this paper raises awareness of CO2 emissions in vehicles' production. For statistical organizations and stakeholders in the investment world, this paper provides available and reliable statistics for trend analysis of different MVMs.Originality/valueA new method is designed for constructing a company performance index for MVMs. Three environmental variables are identified based on literature, their environmental impact as well as their data availability from public documents. A ranking by manufacturer with environmental concerns is generated. This index can contribute with available statistics and useful insights toward decision-making.

The influence of IT-competency dimensions on job satisfaction, knowledge sharing and performance across industries

2019 ◽  
Vol 50 (3) ◽  
pp. 387-407 ◽  
Author(s):  
Wioleta Kucharska ◽  
G. Scott Erickson
Keyword(s):  
Job Satisfaction ◽  
Knowledge Sharing ◽  
Organizational Development ◽  
Structural Equation ◽  
Knowledge Workers ◽  
Equation Modeling ◽  
Company Performance ◽  
It Industry ◽  
Content Type ◽  
It Operations

Purpose Technology makes knowledge management easier. Knowledge sharing is essential for organizational development. Job satisfaction fosters knowledge sharing. Hence, this study aims to develop an understanding of the mutual relationship between knowledge sharing and job satisfaction when both are predicted by information technology (IT)-competency dimensions such as IT-operations, IT-knowledge and IT-infrastructure in the context of company performance. Design/methodology/approach The results were achieved based on the examination of 910 Polish knowledge workers with different roles and experiences across various sectors. Data were analyzed using structural equation modeling method. Findings The findings suggest that the company’s IT-competency drives job satisfaction and knowledge sharing more strongly for IT industry knowledge workers than for other industries. Also, a stronger mediation function of knowledge sharing and job satisfaction is observed for IT-operations when the IT industry is controlled. Originality/value The main value of the study is the empirical evidence that the influence of a particular IT-competency dimension varies for industries when it comes to job satisfaction and knowledge sharing processes.

A model for examining the effects of communication on innovation performance: emphasis on the intermediary role of strategic decision-making speed

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fariborz Rahimnia ◽  
Homa Molavi
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Innovation Performance ◽  
Strategic Decision ◽  
Equation Modeling ◽  
Strategic Decision Making ◽  
Decision Making Process ◽  
Content Type ◽  
Intermediary Role

PurposeIn recent years, rapid changes in the economic situation and high levels of competition have increased the need for innovation in order to gain success. In such circumstances, organizational strategists are considered as critical in determining the success or failure of organizations. Using innovation in various aspects of organizational operations is the most important factor to achieve sustainable competitive advantages in industry. As a result, analyzing the effective factors involved in promoting the efficiency of innovative activities in the organization and ways of achieving it are of utmost importance. Thus, this paper examines the relationship between communication and innovation performance with respect to the intermediary role of strategic decision-making process speed.Design/methodology/approachThe present study has used quantitative methodology and questionnaire to collect data from 450 managers and members who are involved in the decision-making process in 150 companies operating in the food-industry sector. Data analysis was done by using structural equation modeling and AMOS software.FindingsThe results of the data analysis suggest that communication and strategic decision-making speed possess a significant positive impact on innovation performance. Also, strategic decision-making speed has sufficiently played the intermediary role between communication and innovation performance.Originality/valueThis survey specifies the effects of communication on the success of making fast strategic decision and innovation performance which aid Iranian food companies to tackle one of the managerial challenges: postponing strategic decisions due to lack of efficient communication to get information. In addition, to the best of the authors' knowledge, this essay is a first in Iran.

scholarly journals The interplay between market intelligence activities and sales strategy as drivers of performance in foreign markets

2019 ◽  
Vol 53 (10) ◽  
pp. 2080-2108 ◽  
Author(s):  
Evangelia Katsikea ◽  
Marios Theodosiou ◽  
Katerina Makri
Keyword(s):  
Export Performance ◽  
Performance Outcomes ◽  
Strategic Decision ◽  
Export Market ◽  
Equation Modeling ◽  
Content Type ◽  
Exporting Firms ◽  
Market Intelligence ◽  
Positive Effects ◽  
Sales Strategy

Purpose Exporting is a popular foreign market entry mode, especially among small- and medium-sized enterprises (SMEs). The success of SME exporters depends on their ability to establish and maintain profitable long-term relationships with foreign customers. This study aims to propose that the development of an effective export sales strategy can contribute greatly toward this aim. The study also demonstrates that export market intelligence generation and export market intelligence dissemination activities are important drivers of export sales strategy. Export sales strategy comprises three dimensions, which are expected to have a positive influence on export performance. Design/methodology/approach The study uses survey data obtained from 168 exporting firms based in Greece, to test a set of research hypotheses. Structural equation modeling procedures are used. Findings Findings indicate that export market intelligence generation and dissemination activities support and facilitate the development of effective export sales strategies, tailored to serve individual foreign accounts. Furthermore, all strategic dimensions of export sales strategy demonstrate significant positive effects on export performance. Research limitations/implications The research underlines the importance of incorporating export sales strategy in studies that aim to investigate the drivers of export performance. Practical implications The findings also indicate that exporting firms must actively engage in market intelligence activities to reinforce their strategic decision-making process. Originality/value The study emphasizes the crucial importance of export sales strategy in achieving superior export performance. The study provides a theory-driven conceptualization and operationalization of export sales strategy and offers an empirical assessment of a comprehensive model that includes the key antecedents and performance outcomes of export sales strategy.

Linking knowledge management orientation to balanced scorecard outcomes

2015 ◽  
Vol 19 (6) ◽  
pp. 1224-1249 ◽  
Author(s):  
Hsiu-Fen Lin
Keyword(s):  
Knowledge Management ◽  
Customer Satisfaction ◽  
Financial Performance ◽  
Knowledge Sharing ◽  
Balanced Scorecard ◽  
Equation Modeling ◽  
Content Type ◽  
Internal Process ◽  
Management Orientation ◽  
Knowledge Absorption

Purpose – This study aims to develops the decomposed model to examine the influence of knowledge management orientation (KMO) dimensions (organizational memory, knowledge sharing, knowledge absorption and knowledge receptivity) on balanced scorecard outcomes (learning and growth, internal process, customer satisfaction and financial performance). Design/methodology/approach – Survey data from 244 managers (in charge of KM projects in their companies) in large Taiwanese firms were collected and used to test the decomposed model using the structural equation modeling approach. Findings – This study finds that knowledge sharing is the strongest predictor of internal process performance, while knowledge absorption is pivotal in improving customer satisfaction. The results also show that non-financial performance measures (i.e. learning and growth, internal process and customer satisfaction) directly and indirectly affect financial performance through cause-and-effect relationships. Practical implications – In an increasingly dynamic environment, the building of internal knowledge stocks is likely insufficient, but knowledge must be moved between a firm and external entities (e.g. customers, business partners and education and research institutes) (i.e. building knowledge flows) to achieve increased customer satisfaction and financial performance. Originality/value – Theoretically, the findings of this study suggest that the decomposed approach helps to understand the complex relationships embodied in the KMO–performance link, which cannot be surmised using a composite model. From the managerial perspective, the findings of this study may help academics and managers design and sustain KMO implementation throughout the organization to achieve higher effectiveness, efficiency and profitability.

Consequential factors of Big Data's Analytics Capability: how firms use data in the competitive scenario

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Luis Hernan Contreras Pinochet ◽  
Guilherme de Camargo Belli Amorim ◽  
Durval Lucas Júnior ◽  
Cesar Alexandre de Souza
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Structural Equation ◽  
Explanatory Power ◽  
Big Data Analytics ◽  
Strategic Decision ◽  
Analytical Models ◽  
Equation Modeling ◽  
Content Type ◽  
Analytics Capability

PurposeThe article's objective is to analyze the consequent factors of Big Data Analytics Capability for firms in the competitive scenario, using different analytical models.Design/methodology/approachThe research had a quantitative approach, using a survey of data from firms located in the state of São Paulo – Brazil. Structural Equation Modeling (SEM) was used to validate the model.FindingsThe results reveal that all hypotheses were accepted. Business value was the construct that had the most explanatory power in the model. It is necessary to invest more in analytical tools, as well as people trained in the analysis of these models, in addition to a change of mindset, which will dictate the bias of the firm's strategic decision-making. The Big Data analysis is evident from firms' growing investments, particularly those that operate in complex and fast-paced environments.Practical implicationsThe proposed theoretical model makes it possible to verify firms' analytical structure and whether they are better positioned to analyze customer data and information in real-time, generate insights and implement solutions to maintain and improve their market position.Originality/valueThe contribution of this article is to present a proposal to expand the research models in the literature that analyzed the direct and indirect relationship between “Big Data Analytics Capability” and “Product Innovation Performance”.

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