Examining the quantitative determinants of organizational performance: evidence from China

2015 ◽  
Vol 19 (2) ◽  
pp. 23-41 ◽  
Author(s):  
Ying Wang ◽  
Ramudu Bhanugopan ◽  
Pamela Lockhart
Keyword(s):  
Organizational Performance ◽  
Organization Theory ◽  
Structural Equation ◽  
Quantitative Methods ◽  
Factor Model ◽  
Five Factor Model ◽  
Performance Model ◽  
Equation Modeling ◽  
Content Type ◽  
Innovation And Technology

Purpose – The aim of this paper is to examine the determinants of organizational performance (OP) of business enterprises located in China and to explore how individual demographic and organizational characteristics affect OP. Design/methodology/approach – This study applies quantitative methods to examine the OP. Data were collected from 405 managers across 306 organizations in China. Findings – The study finds that, overall, OP is related to five factors, namely, finance and customer, internal business, work satisfaction, pay and benefits and innovation and technology (INT). The results from this study provide new perspectives and support the overall validity of the nomological network of OP factors. The findings also provide guidelines on which perspectives of performance organizations should be enhanced. Practical implications – The five-factor model of OP provides benefit to any organization or individual who intends to examine OP in China. In addition, the findings suggest that organizations should explore ways to enforce their performance. The findings also inform organizational decision makers about practices for performance improvement. Originality/value – The present study was undertaken to advance understanding of OP in China in several ways. The most significant element of this study was the five-factor performance model generated from the structural equation modeling analysis. The results from MANOVA highlight the potential impact of organization theory on how demographic and organizational variables influence OP in China.

Development and validation of an instrument measuring core job characteristics

2019 ◽  
Vol 34 (2) ◽  
pp. 373-385
Author(s):  
Nikolaos Tsigilis ◽  
Athanasios Koustelios
Keyword(s):  
Factor Analysis ◽  
Structural Equation ◽  
Factor Model ◽  
Five Factor Model ◽  
Job Characteristics ◽  
Equation Modeling ◽  
Content Type ◽  
The Core ◽  
New Instrument ◽  
Job Diagnostic Survey

Purpose Much of prior research focused on the dimensionality of the part of Job Diagnostic Survey that measures the core job characteristics, with mixed findings. The purpose of this paper is to develop and validate an instrument assessing core job characteristics. Design/methodology/approach Public school teachers (n=685) serving in elementary and secondary schools filled in the Core Job Characteristics Inventory (CJCI). CJCI comprises 29 items to assess job autonomy, task significance, task identification, skill variety and feedback from the job. The development of the CJCI undergone the following stages: development of an initial pool of items, examination of its content validity by ten experts and a pilot study. Findings Exploratory factor analysis revealed five factors with satisfactory internal consistency. Confirmatory factor analysis showed mixed results. Application of exploratory structural equation modeling procedures revealed that a correlated five-factor model yielded an adequate fit to the data. Associations among the five work features were significant, positive and yielding moderate values. Correlations among the five-core job characteristics and two affective job responses (job satisfaction and emotional exhaustion) provided evidence of CJCI concurrent validity. Practical implications Human resources managers can use CJCI to measure core job characteristics or to evaluate interventions in the work places. Originality/value A new instrument was developed to measure core job characteristics, and to address previous shortcomings reported in the literature. The rigorous methodological procedure, which followed for the development of the CJCI combined with a cross-validation approach best guarantees its applicability.

Measuring quality variations in e-service

2017 ◽  
Vol 27 (2) ◽  
pp. 427-452 ◽  
Author(s):  
Yen-Chun Chen ◽  
Yung-Cheng Shen ◽  
Crystal Tzu-Ying Lee ◽  
Fu-Kai Yu
Keyword(s):  
Service Quality ◽  
Structural Equation ◽  
Quantitative Methods ◽  
Factor Model ◽  
Reliability And Validity ◽  
Equation Modeling ◽  
Measurement Tool ◽  
Information Quantity ◽  
Content Type ◽  
Qualitative And Quantitative Methods

Purpose The purpose of this paper is to develop and validate a multidimensional hierarchical scale for measuring “e-service quality variation.” Design/methodology/approach Based on the psychometric scale-development approach, qualitative and quantitative methods were employed to develop the e-SERVAR scale. A multidimensional hierarchical factor structure of e-SERVAR is proposed, along with a set of preliminary items derived from literature and the qualitative study. Furthermore, the Yahoo website in Taiwan was chosen to be the target e-service website for data collection to develop the e-SERVAR scale. A series of statistical methods (i.e. item-to-total correlations, exploratory factor analyses, CFAs and structural equation modeling) were adopted to verify construct reliability and validity as well as nomological validity of the scale. Findings A 41-item e-SERVAR scale based on the structure of a hierarchical factor model was developed that contains three primary dimensions (i.e. information, system and fulfillment) and nine subdimensions (information accuracy, information quantity, information timeliness, information usefulness, system reliability, system security, merchandise quality, merchandise delivery timeliness and merchandise security). Practical implications The results of this study help managers identify sources of quality variability and design efficacious strategies to reduce such variability in order to improve the overall e-service quality. Originality/value Prior research of e-service quality has paid less attention to the role of e-service quality variability. Discussion of e-service quality variability was mainly conceptual in nature. This research presents the e-SERVAR scale as a measurement tool that provides a new avenue for researchers to study how to improve e-service quality by measuring service variability.

Dark side of personality, intelligence, creativity, and managerial level

2016 ◽  
Vol 31 (2) ◽  
pp. 391-404 ◽  
Author(s):  
Gorkan Ahmetoglu ◽  
Stacey Dobbs ◽  
Adrian Furnham ◽  
John Crump ◽  
Tomas Chamorro-Premuzic ◽  
...  
Keyword(s):  
Structural Equation ◽  
Factor Model ◽  
Five Factor Model ◽  
Dark Side ◽  
Equation Modeling ◽  
Big Five Personality ◽  
Content Type ◽  
Assessment Centre ◽  
The Uk ◽  
Managerial Level

Purpose – The purpose of this paper is to examine the relationship of the Five-Factor Model Personality Disorder (FFM PD) count technique to industrial, work, and organizational (IWO) criteria. In this vein, the present research sought to extend previous studies (e.g. De Fruyt et al., 2009) by eliminating common method variance, and by including several objectively assessed IWO criteria, namely, managerial level, intelligence, and creativity. Design/methodology/approach – In total, 1,659 working adults reported their managerial level in their organization, and completed two intelligence tests, a measure of creativity, and a measure of the Big Five personality traits in an assessment centre. The data were analyzed using structural equation modeling. Findings – Results showed that the FFM PD counts were significantly associated with each IWO criteria. Results also show that specific linear combinations of Five-Factor Model facets can explain a larger proportion of the variance in these criteria. Finally, normative benchmark values are provided and validated for personnel development contexts in the UK. Research limitations/implications – Because the FFM PD score-distributions were limited to one assessment setting (medium stakes) only, the use of proposed benchmarks may not be appropriate for other contexts. Practical implications – Considering the mounting evidence in the area, assessing dark side traits is likely to be desirable for organizations – particularly in selection and development settings. Originality/value – This study is the first to demonstrate the validity of the FFM PD count technique in relation to objectively measured IWO criteria.

Privacy helplessness on social media: its constituents, antecedents and consequences

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hichang Cho
Keyword(s):  
Theoretical Model ◽  
Structural Equation ◽  
Factor Model ◽  
Measurement Model ◽  
Equation Modeling ◽  
Confirmatory Factor Analyses ◽  
Content Type ◽  
Internet Users ◽  
The Usa ◽  
Antecedents And Consequences

PurposeMany internet users exhibit signs of privacy helplessness and entirely give up online privacy management. However, we know little about what privacy helplessness is, when users are likely to experience it and its implications for privacy behavior. The objectives of this study were twofold: (a) the conceptual explication of privacy helplessness as a novel construct in privacy research and (b) the development of a theoretical model that specifies the antecedents and consequences of privacy helplessness.Design/methodology/approachA research model of privacy helplessness that contains three subcomponents of privacy helplessness, five antecedents and one outcome was developed. The model was empirically examined based on survey data collected from 589 Facebook users in the USA.FindingsThe results of exploratory and confirmatory factor analyses showed that privacy helplessness is adequately assessed by a three-factor model with affective, cognitive and motivational components. The results of structural equation modeling indicated that these three aspects of privacy helplessness are uniquely predicted by five theoretical factors: (a) prior experience of privacy risks, (b) personal mastery, (c) perceived costs of adaptive privacy actions, (d) perceived rewards of privacy inactions and (e) perceived vulnerability. Furthermore, it was found that helplessness as motivational deficits (and cognitive helplessness via this) impedes adaptive privacy actions, while cognitive helplessness promotes adaptive privacy actions when they do not result in motivational deficits.Originality/valueThis study pioneers investigation in understanding key constituents, attributes and processes underlying privacy helplessness. First, the present study developed the first theory-derived, successively validated measurement model of privacy helplessness. Second, this research proposed a theoretical model of privacy helplessness, specifying antecedents and consequences of privacy helplessness.

Is lodging research suffering from methods bias? An assessment of published research during 1990-2016

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Faizan Ali ◽  
Mehmet Ali Koseoglu ◽  
Fevzi Okumus ◽  
Eka Diraksa Putra ◽  
Mehmet Yildiz ◽  
...  
Keyword(s):  
Structural Equation ◽  
Quantitative Methods ◽  
Empirical Studies ◽  
Secondary Data ◽  
Equation Modeling ◽  
Content Type ◽  
Data Collection And Analysis ◽  
Hospitality And Tourism ◽  
Method Bias ◽  
Published Research

Purpose The study aims to investigate if lodging research suffers from a method bias by comprehensively reviewing the research methodology used in lodging related research articles. Design/methodology/approach In all, 2,647 published papers in 16 leading hospitality and tourism published between 1990 and 2016 are analyzed using bibliometric technique. Findings In all, 69% of the empirical studies in lodging research across 26 years period used quantitative methods, with an increasing reliance on regression-based analysis and structural equation modeling, a disturbing plunging trend in methods diversity. Findings also suggest an increasing trend of using secondary data. Research limitations/implications Based on the findings of this study, theoretical and practical implications for hospitality and tourism researchers are provided. Originality/value This is the first study that reviewed a large corpus of published research (2,647 papers in 16 hospitality and tourism journals from the last 27 years) to highlight (a) methodology used, (b) methods employed and (c) data collection and analysis procedures.

Dependence, trust, and 3PL integration: an empirical study in China

2017 ◽  
Vol 47 (9) ◽  
pp. 927-948 ◽  
Author(s):  
Baofeng Huo ◽  
Chen Liu ◽  
Haozhe Chen ◽  
Xiande Zhao
Keyword(s):  
Financial Performance ◽  
Information Sharing ◽  
Structural Equation ◽  
Mainland China ◽  
Performance Model ◽  
Equation Modeling ◽  
Content Type ◽  
Key Dimensions ◽  
Process Coordination ◽  
The Relationship

Purpose The purpose of this paper is to investigate relationships among dependence, trust, and integration in the Chinese 3PL context. 3PL integration is manifested in two key dimensions: information sharing and process coordination. Design/methodology/approach This study develops a dependence-trust-3PL integration-performance model and tests it using structural equation modeling with survey data collected from 361 companies in the Greater China area (i.e. mainland China, Hong Kong, and Taiwan). Findings The results show that switch dependence is indirectly related to information sharing and process coordination through goodwill trust, while goal dependence has direct links with both integrative behaviors. The authors also found that only goodwill trust mediates the relationship between dependence and integrative behaviors, while ability trust does not mediate any relationships. Finally, the analysis validated the direct link between process coordination and financial performance, but did not find a significant link between information sharing and financial performance. Originality/value Different from most previous studies on similar topics, this study examines the impacts of different types of dependence and trust on different 3PL integration dimensions. As a result, the findings are more specific and have direct relevance to effective 3PL relationship management in China.

scholarly journals The Influence of Leadership Style, Competency and Compensation on Employee Performance and Its Impact on Organizational Performance in Kementerian Pertanian

FOCUS ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 28-42
Author(s):  
Sugito Efendi ◽  
Suwardi Suwardi
Keyword(s):  
Organizational Performance ◽  
Leadership Style ◽  
Structural Equation ◽  
Research Method ◽  
Quantitative Methods ◽  
Employee Performance ◽  
Equation Modeling ◽  
Survey Method ◽  
Directorate General ◽  
The Impact

This study aims to analyze the influence of leadership style, competence, compensation on employee performance and the impact on organizational performance on the employees of the Directorate General of Agricultural Infrastructure and Facilities. This study used a survey method by distributing questionnaires to employees of the Directorate General of Agricultural Infrastructure and Facilities. As the respondent. This research method uses quantitative methods with technical analysis of Structural Equation Modeling (SEM) with the AMOS version 22 application. The research sample used in this study were 158 respondents. The results showed that leadership style, competence and compensation directly had a positive and significant effect on employee performance. Leadership style, competence and compensation directly have a positive and significant effect on organizational performance. Leadership style, competence and compensation indirectly have a positive and significant effect on organizational performance through employee performance.

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.

Entrepreneurship education, entrepreneurial self-efficacy, need for achievement and entrepreneurial intention among commerce students in Pakistan

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bahadur Ali Soomro ◽  
Naimatullah Shah
Keyword(s):  
Self Efficacy ◽  
Structural Equation ◽  
Quantitative Methods ◽  
Entrepreneurship Education ◽  
Entrepreneurial Intention ◽  
Equation Modeling ◽  
Need For Achievement ◽  
Cross Sectional ◽  
Content Type ◽  
Commerce Students

PurposeThe present study undertook an empirical investigation of entrepreneurship education, self-efficacy, need for achievement and entrepreneurial intention among Pakistan's commerce students.Design/methodology/approachThe authors applied quantitative methods based on cross-sectional data. The commerce students of the different public sector universities are targeted through a random sampling technique. The authors used a survey questionnaire to attain the responses from respondents. Finally, 184 usable cases are utilized to assume the hypothesized paths.FindingsBy applying the structural equation modeling (SEM), the findings of the study demonstrate a significant positive effect of constructs of entrepreneurship education (EE), that is, opportunity recognition (OR) and entrepreneurship knowledge acquisition (EKA) on entrepreneurial self-efficacy (ESE), entrepreneurial intention (EI) and need for achievement (NFA). Besides, ESE and NFA are found to be the robust predictors of EI.Practical implicationsThe findings provide significant guidelines to policy-makers and university authorities for developing useful EE courses to uplift and boost students' skills to face today's considerable business and entrepreneurship challenges. The study also helps to generate eagerness among students in selecting entrepreneurship as a career option.Originality/valueThis study suggests the confirmation of EE's significant role in developing ESE, NFA and EI among commerce students.

Evaluation of knowledge management practices - a leather industry context

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Srinivasan P.
Keyword(s):  
Knowledge Management ◽  
Structural Equation Modeling ◽  
Organizational Performance ◽  
Structural Equation ◽  
Influential Factor ◽  
Equation Modeling ◽  
Survey Method ◽  
Leather Industry ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to analyze the impact of knowledge management (KM) in terms of organizational performance using structural equation modeling. To enhance organizational performance, KM is used as a powerful strategic tool. The factors such as management commitment, leadership and organizational culture are the KM enabler’s conditions, and the step processes of KM are knowledge capture, creation, organizing/storing and transfer, and through this, KM is analyzed on organizational performance in the context of leathers manufacturing company. This study constructs with questionnaire consist of 34 variables. Design/methodology/approach There are about 101 samples that were collected through the questionnaire survey method in the leather companies in Ranipet. The data were collected from executives and associates in the leather companies. Data were analyzed using the SPSS tool and SMART PLS tool used for framing a research model and the hypothesized relationships were tested through partial least squares structural equation modeling technique. Findings The finding of this study is mandatory to implement a structured KM practice in the leather companies. Application of KM is quite an impact on organizational performance, which leads to profitability and productivity. Originality/value This is the first paper to empirically investigate the KM enablers, process and support for the role of KM practices at leather industry. Further, the positioning of KM practices as a strategic competitive tool can be considered as an influential factor to organizational performance.

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