An implementation framework of value management in the Nigerian construction industry

2018 ◽  
Vol 8 (3) ◽  
pp. 305-319 ◽  
Author(s):  
Bruno Lot Tanko ◽  
Fadhlin Abdullah ◽  
Zuhaili Mohamad Ramly ◽  
Wallace Imoudu Enegbuma
Keyword(s):  
Construction Industry ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Success Factors ◽  
Structural Model ◽  
Value Management ◽  
Successful Implementation ◽  
Fit Indices ◽  
Implementation Framework ◽  
Content Type

Purpose The purpose of this paper is to develop a framework for value management (VM) implementation by establishing the effect of critical success factors on current construction practices. This will aid stakeholders to improve productivity of construction practices in the Nigerian construction industry. The study established the requirements that ought to be satisfied for VM to successfully enhance productivity of construction activities. Design/methodology/approach Data collection was based on self-administered questionnaires from 344 registered construction professionals in Nigeria. The Statistical Package for Social Sciences version 25 and structural equation modelling were used to analyse the data for both descriptive and inferential analyses. Kaiser-Meyer-Olkin measure of sampling adequacy revealed that the internal consistency of the developed research instrument was appropriate, while the confirmatory factor analysis indicated satisfactory goodness-of-fit indices among acknowledged determinants of the structural model. Findings A framework that established the requirements for the successful implementation of VM construction practices in the Nigerian construction industry. Originality/value A structural model validated the requirements of applying VM on current construction practices. The established requirements (environment, people, government and information/methodology) can be used by decision makers and stakeholders to improve productivity of the current construction practices in the Nigerian construction environment. A framework was developed and validated by construction experts to confirm its suitability, usefulness and acceptance.

Establishing the synergy between the perceptions of construction professionals and the phases of value management

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mujahed Thneibat ◽  
Motasem Thneibat ◽  
Bader Al-Tamimi
Keyword(s):  
Construction Industry ◽  
Structural Equation ◽  
Success Factors ◽  
Function Analysis ◽  
Local Context ◽  
Equation Modeling ◽  
Value Management ◽  
Content Type ◽  
Implementation Phase ◽  
The Status

PurposeThis study aims to lay the groundwork for the potential application of value management (VM) in construction projects. This paper presents a critical review on the status of VM in a developing country and highlights the role of perceptions on critical success factors (CSFs) for the phases of VM studies, as the participants in a VM study should consider CSFs tailored to the local context.Design/methodology/approachA series of interviews and a questionnaire were conducted to understand the drivers, perceptions, barriers, and CSFs of VM in the Jordanian construction industry. Although descriptive statistics were used to analyze the status of VM, a structural equation modeling (SEM) approach was adopted to highlight the interrelationships between perceptions and the CSFs of the three phases of VM (i.e. pre-workshop, workshop, and implementation).FindingsThe descriptive analysis revealed conflicting viewpoints for perceptions and drivers. Most practitioners acknowledged little awareness of VM phases, and the SEM results indicated that perceptions of VM, in terms of its capacity in improving the scope and objectives of the project, and reducing overall costs, most strongly influenced the CSFs of the implementation phase in terms of support and clear plan for implementation, and had the least influence on the pre-workshop phase. Further, the perceptions had a moderate effect on the CSFs of the workshop phase and it tended to be positive, highlighting the importance of function analysis in this phase.Originality/valueThis is the first study to reveal the status of VM in Jordan in terms of adoption, drivers, perceptions, barriers and CSFs; no prior studies have investigated how perceptions can affect the CSFs of each phase of VM and the endorsement of VM by the construction industry. The contributions of this study include linking the perceptions of construction professionals with the CSFs of VM.

To examine the relationships between supplier development practices and supplier-buyer relationship practices from the supplier’s perspective

2017 ◽  
Vol 24 (5) ◽  
pp. 1309-1336 ◽  
Author(s):  
Sarang Joshi ◽  
Manoj Kharat ◽  
Rakesh Raut ◽  
Sachin Kamble ◽  
Sheetal Kamble
Keyword(s):  
Structural Equation ◽  
Success Factors ◽  
Structural Model ◽  
Manufacturing Firms ◽  
Supplier Development ◽  
Competitive Advantages ◽  
Content Type ◽  
The Relationship ◽  
Relationship Improvement

Purpose The purpose of this paper is to examine the relationships between supplier development practices (SDPs) and supplier-buyer relationship practices from the supplier’s perspective (SBRSP), and seek to understand how specific SDPs may impact a buyer’s operational performance as well as supplier-buyer relationship practices. Design/methodology/approach The authors conducted a survey of 512 respondents from the different manufacturing firms in India and applied structural equation modelling to test a structural model that proposes the impacts of various efforts of SDPs on a buyer’s performance as well as SBRSP. Findings The study concludes that SDPs and SBRSP together improve the relationship between a buyer and supplier, and this improved relationship leads to competitive advantages (CAs) followed by profitability. Results indicate that supplier perspective of buyer-supplier relationship can be improved under the condition of SDPs and SBRSP together. SDPs are driven by productive measure and competitive pressure, whereas customer uncertainty is found to be statistically insignificant. Research limitations/implications The study was carried out in North Maharashtra Industrial Zone of India, where the auto sector and machine/components manufacturing firms have been established for a considerable period of time. Results of the study are limited to manufacturing organizations predominantly focussing on the automobile sector and machine/components manufacturing firms. Practical implications This study provides significant insights into the specific impact of various SDPs and SBRSP for both academics and practitioners. SDPs along with SBRSP practices lead to improvement in the relationship leading to CAs. SBRSP suggests that trust, long-term commitments and the supplier’s perspective are important practices for relationship improvement. Originality/value The current study attempts to identify what are the success factors for the supplier-buyer relationship from the supplier’s perspective and SDPs and how the supplier-buyer relationship can be improved under the condition of SDPs and SBRSP. Hence, the aim is to develop a more thorough understanding of the outcomes of a supplier-buyer relationship improvement from both buyer’s and supplier’s perspective, under the conditions of supplier development to achieve CAs leading to profitability. Furthermore, the study analyses the effect of the improved supplier-buyer relationship for achieving CAs leading to profitability.

Analysis of interaction among the barriers to 5S implementation using interpretive structural modeling approach

2017 ◽  
Vol 24 (7) ◽  
pp. 1834-1853 ◽  
Author(s):  
Rajesh Attri ◽  
Bhupender Singh ◽  
Sunil Mehra
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Structural Modeling ◽  
Equation Modeling ◽  
Successful Implementation ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Modeling Approach ◽  
Manufacturing Organizations ◽  
Top Management Commitment

Purpose The purpose of this paper is to ascertain and analyze the interactions among different barriers of 5S implementation in manufacturing organizations. Design/methodology/approach In this paper, 15 barriers affecting the implementation of 5S in manufacturing organizations have been identified from literature analysis and discussion with academic and industrial experts. Afterwards, identified barriers were validated by using nation-wide questionnaire-based survey. Then, interpretive structural modeling (ISM) approach has been utilized to find out the interaction among the identified barriers in order to develop hierarchy-based model. Findings The research identifies several key barriers which have high driving power and weak dependence power. In this concern, these barriers entail extreme care and handling for successful implementation of 5S. Financial constraints, lack of top management commitment, and no proper vision and mission are found to be the key barriers. Research limitations/implications The developed ISM model is based on experts’ opinion. This developed hierarchy-based model requires further validation by using structural equation modeling approach or by performing detailed case studies. Originality/value In this paper, ISM-based structural model has been recommended for Indian manufacturing organizations, which is a novel exertion in the area of 5S implementation.

An empirical study of the antecedents and consequences of brand engagement

2015 ◽  
Vol 33 (4) ◽  
pp. 575-591 ◽  
Author(s):  
Ho Yin Wong ◽  
Bill Merrilees
Keyword(s):  
Structural Equation ◽  
Goodness Of Fit ◽  
Fit Indices ◽  
Brand Performance ◽  
Content Type ◽  
Explanatory Variables ◽  
Brand Engagement ◽  
Consumer Perspective ◽  
Antecedents And Consequences ◽  
New Perspective

Purpose – The purpose of this paper is to develop and empirically test a model of brand engagement. More specifically, the aim is to evaluate both antecedents and consequences of brand engagement, from a management perspective. Design/methodology/approach – A quantitative survey of 403 firms is undertaken to test the model. Structural equation modelling (SEM) is used to estimate the parameters of the model. Findings – A reliable and valid measure of brand engagement is established. The SEM model works well, in terms of goodness of fit indices. The results demonstrate that there are major brand performance benefits (consequences) of brand engagement. Additionally, and important for the practical implications, the results show that brand orientation is a major antecedent to brand engagement. Research limitations/implications – The study needs to be replicated in other countries, with scope to add other explanatory variables for influencing brand engagement. The results have considerable practical benefits for guiding the introduction of measures to enhance brand engagement. Originality/value – The study builds on earlier (mainly consumer) conceptual approaches to brand engagement, but goes further in that it provides empirical evidence about the nature, antecedents and consequences of brand engagement and further, offers a management rather than consumer perspective. Essentially, the study reveals a new perspective of factors that encourage firms to connect/engage their brands with consumers. Brand engagement is a dual concept, reflecting both a consumer and a firm perspective.

scholarly journals Evaluating critical success factors for implementing smart devices in the construction industry

2019 ◽  
Vol 26 (8) ◽  
pp. 1625-1640 ◽  
Author(s):  
Manuel Alexander Silverio-Fernandez ◽  
Suresh Renukappa ◽  
Subashini Suresh
Keyword(s):  
Dominican Republic ◽  
Construction Industry ◽  
Construction Projects ◽  
Success Factors ◽  
Smart Devices ◽  
Successful Implementation ◽  
Construction Sector ◽  
Policy Makers ◽  
Content Type ◽  
Critical Success

Purpose The decentralisation of information and high rate of mobile content access in the construction industry provides an ideal scenario for improvement of processes via the implementation of the paradigm of the Internet of Things (IoT). Smart devices are considered as the objects interconnected in the IoT; therefore, they play a fundamental role in the implementation of digital solutions during the execution of construction projects. The purpose of this paper is to assess the critical factors for a successful implementation of smart devices in the construction industry. Design/methodology/approach An empirical study was performed in the Dominican Republic. This country, located at the heart of the Caribbean, presents an economy that strongly relies on the construction industry. Following a systematic approach, a qualitative data collection and analysis was performed based on semi-structured interviews and content analysis to professionals of construction companies in the Dominican Republic, enquiring the concept of smart devices and critical success factors for implementing the devices in the industry. Findings The key success factors obtained from the contestants were leadership, technology awareness, company size, usability of proposed solution, cost of implementation and interoperability. Originality/value This paper provides information to clients of the construction sector regarding the benefits of embedding smart devices into their business activities. Furthermore, this study provides a better understanding of the key factors to be considered by construction organisations when embedding smart devices into their projects. This study also provides recommendations for distinct stakeholders of the construction sector, such as policy makers, clients and technology consultants. Policy makers should especially consider factors such as technology awareness and leadership to develop the right policies for the integration of the IoT in construction projects. Technology consultants should be aware of the latest case studies of successful implementation of smart devices and IoT systems in the world in order to adapt and implement smart devices and IoT in their projects.

Development of a structural model of environmentally conscious manufacturing drivers

2014 ◽  
Vol 25 (8) ◽  
pp. 1195-1208 ◽  
Author(s):  
Varinder Kumar Mittal ◽  
Kuldip Singh Sangwan
Keyword(s):  
Factor Analysis ◽  
Structural Equation ◽  
Manufacturing Industry ◽  
Structural Model ◽  
Equation Modeling ◽  
Special Focus ◽  
Successful Implementation ◽  
Environmentally Conscious ◽  
Content Type ◽  
Environmentally Conscious Manufacturing

Purpose – Manufacturing firms consume energy and natural resources in highly unsustainable manner and release huge amounts of green house gases leading to many economic, environmental and social problems; from local waste disposal to climate change. Consciousness about these issues has lead to a new manufacturing paradigm of environmentally conscious manufacturing (ECM). There exist many social, legislative, policy, economic, internal, and environmental factors which can motivate and/or force industry to adopt ECM. The purpose of this paper is to identify the drivers for ECM, developing a model of these drivers using statistical analysis and testing the model using structural equation modeling (SEM) technique. Design/methodology/approach – The basic steps of methodology are ECM driver development, survey instrument development, data collection, model proposition, and model validation. The main data analysis approaches are exploratory factor analysis, confirmatory factor analysis, and SEM to develop a model of drivers and validating the same based on the data collected from the manufacturing industry. Findings – The reliable, valid, and tested model has three types of drivers – internal, policy, and economic. It has been found through hypothesis testing that internal drivers for the implementation of ECM are positively related to policy and economic drivers; and policy drivers are positively related to economy drivers. This research is expected to help government and industry in developing policies and strategies for the successful implementation of ECM. Practical implications – The novelty of this study is that it provides the relationship among the drivers which can be leveraged by the managers to focus on the root drivers for smooth and effective implementation of ECM. Originality/value – This paper provides new theoretical insight into the factors motivating the industry to implement ECM systems in the industry with special focus on manufacturing sector of emerging economies.

Implementing total quality management (TQM) in the Palestinian construction industry

2014 ◽  
Vol 31 (8) ◽  
pp. 878-887 ◽  
Author(s):  
Mustafa Maher Altayeb ◽  
Mahmoud Bashir Alhasanat
Keyword(s):  
Quality Management ◽  
Total Quality Management ◽  
Construction Industry ◽  
Computer Model ◽  
Success Factors ◽  
Gaza Strip ◽  
Project Planning ◽  
Successful Implementation ◽  
Total Quality ◽  
Content Type

Purpose – The construction industry has been one of the most important industries for the development of the Palestinian infrastructure and economy. Total quality management (TQM) is considered one of the most important approaches to the success of construction industry. The purpose of this paper is to determine the success factors necessary for the implementation of TQM at various phases of project planning, design and construction in the Gaza Strip. Design/methodology/approach – A computer model was developed to assess the current strengths and weaknesses of each component of the construction industry, such as owner, consultant and contractor, regarding their use of quality management methodologies. Findings – The research determined a total of eight major factors and 81 sub-factors. It was identified that seven critical success factors with 38 significant sub-factors were required for the successful implementation of TQM in Gaza Strip construction organizations. Originality/value – An original assessment of the importance of TQM in the construction industry in Palestine. The computer model shows the strengths and weaknesses of stakeholders within the industry.

Measuring fairness in franchisor-franchisee relationship: a confirmatory approach

2017 ◽  
Vol 45 (2) ◽  
pp. 158-176 ◽  
Author(s):  
Ateeque Shaikh ◽  
Saswata Narayan Biswas ◽  
Vanita Yadav ◽  
Debiprasad Mishra
Keyword(s):  
Factor Structure ◽  
Structural Equation ◽  
Large Scale ◽  
Goodness Of Fit ◽  
Threshold Level ◽  
Fit Indices ◽  
Validity And Reliability ◽  
Content Type ◽  
Perceptions Of Fairness ◽  
Three Factor

Purpose The purpose of this paper is to develop, test and validate a measure of fairness in the context of franchisor-franchisee relationship and test for the dimensionality of fairness. Design/methodology/approach The authors surveyed 300 franchisees of a large-scale franchisor in India. The authors employ confirmatory factor analysis (CFA) to analyse the data. Findings The authors tested four models of the fairness construct through CFA using structural equation modelling. The three-factor corrected model of the fairness construct exhibits comparatively better goodness of fit indices as compared to the other correlated models of the fairness construct. It clears the threshold level of validity and reliability test. The findings of the study suggest that the factor structure of fairness is three-factor correlated model with aspects of procedural fairness and informational fairness getting subsumed into one construct. Research limitations/implications Factor structure of fairness construct differs with earlier empirical research findings with both interpersonal fairness and informational fairness subsuming into each other to form one construct. Practical implications This measure can be utilized by franchisee managers to track perceptions of fairness among franchisees to manage the franchise relationship in a better way. Franchisees expect information sharing from the franchisor and not the representative of the franchisor. Originality/value To the best of the authors’ knowledge, this study is the first to develop a valid and reliable measure of fairness construct in the context of franchise relationship. This study also identifies factor structure of fairness construct.

Stakeholders’ consensus on organizational technology acceptance; using thematic analysis and SEM

Kybernetes ◽  
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ali Sarkeshikian ◽  
Amir Zakery ◽  
Mohammad Ali Shafia ◽  
Alireza Aliahmadi
Keyword(s):  
Technology Acceptance ◽  
Thematic Analysis ◽  
Perceived Risk ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Equation Model ◽  
Fit Indices ◽  
Content Type ◽  
Business To Business

Purpose Much research has been conducted on technology acceptance (TA), which is mainly about the acceptance by one user. As more than one person should be involved in business-to-business TA decision-making, it is suggested that different processes for making a consensus among different stakeholders should be considered. The purpose of this study is to demonstrate a model for essential activities and characteristics of advocators for accelerating the stakeholders’ consensus in the technology acceptance (SCTA). Design/methodology/approach The conceptual model of this research is presented using a thematic analysis of the interviews with the relevant experts and existing literature. Furthermore, the structural equation model was applied for analyzing empirically how advocators’ characteristics and activities affect consensus. In total, 248 respondents completed the questionnaires. Experts’ opinions, Krippendorff’s alpha index, Cronbach’s alpha coefficient and goodness of fit indices were applied to verify the reliability of the results. Findings Results show that “being leader” and “being influential” are two main characteristics for the advocators’ team that significantly affect SCTA. Reducing perceived “risk” for each stakeholder, developing a “common understanding” among them and demonstrating “resource readiness” are also the main tasks of advocators leading to SCTA. Originality/value The role of advocators in SCTA has been neglected. The main contribution of this study is identifying the required advocators’ activities and characteristics for achieving SCTA.

Development of lean manufacturing implementation drivers for Indian ceramic industry

2014 ◽  
Vol 63 (5) ◽  
pp. 569-587 ◽  
Author(s):  
Kuldip Singh Sangwan ◽  
Jaiprakash Bhamu ◽  
Dhwani Mehta
Keyword(s):  
Factor Analysis ◽  
Empirical Study ◽  
Lean Manufacturing ◽  
Structural Equation ◽  
Ceramic Industry ◽  
Structural Model ◽  
Equation Modeling ◽  
Successful Implementation ◽  
Motivating Factors ◽  
Content Type

Purpose – The purpose of this paper is to develop a statistically reliable and valid model of lean manufacturing (LM) implementation drivers for the Indian ceramic industry through an empirical study. Design/methodology/approach – The research methodology is based on the empirical study of the Indian ceramic industry through a questionnaire specifically developed for the study through literature review and discussions held with practitioners. Exploratory factor analysis, confirmatory factor analysis and structural equation modeling techniques have been used to propose and validate the model. SPSS and AMOS statistical tools have been used for the statistical analysis of the data. Findings – The study identified 12 drivers for the LM implementation in Indian ceramic industry. Further, these 12 drivers have been categorized into internal, policy and external drivers (ED). Structural model affirms that ED are positively related to policy drivers (PD) and PD are positively related to internal drivers. Research limitations/implications – This study provides casual relationships among the various drivers, which can be leveraged by the managers for the easy and effective implementation of LM in their organizations. It is expected that the model will help the decision makers during LM implementation in taking informed decisions in prioritizing and sequencing the implementation strategy. The results of the research may apply to other industries as well, but this needs to be validated by collecting data and analysing its results. Practical implications – The results provide insights into motivating factors that should be focused on while taking lean decisions. The correlation results among drivers will enable the policy makers in government and industry to strategically leverage the resources for the successful implementation of LM in the industry. Originality/value – This research empirically develops a model of drivers for LM implementation. The novelty of the study is the causal relationship among the drivers which can be used for decision making to implement lean easily and effectively. Moreover, the categorization of the drivers into internal, external and policy categories and driving/driven relationship among these categories provides the top management an incisive insight into broad improvement areas.

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