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1 – 10 of over 182000
Article
Publication date: 29 June 2022

Rubee Singh, Shahbaz Khan and Jacinta Dsilva

Consumers, governments and regulatory agencies are concerned about the social and environmental aspect that pushes firms to move towards the circular economy. The transformation…

Abstract

Purpose

Consumers, governments and regulatory agencies are concerned about the social and environmental aspect that pushes firms to move towards the circular economy. The transformation of the existing linear model into a circular model depends on several circular economy practices. Therefore, the purpose of this study is to identify and analyse the critical factors that are responsible for the adoption of circular practices.

Design/methodology/approach

In total, 15 critical factors are identified through the literature review and 12 are finalised with the grey Delphi method. Further, these critical factors are prioritised using the weighted aggregated sum/product assessment (WASPAS) method. A sensitivity analysis is also conducted to test the robustness of the ranking of critical factors obtained from WASPAS.

Findings

The finding of this study show that “top management participation,” “market for recovered products” and “circular economy oriented R&D activities promotion” are the most significant factors for circular practice adoption. These factors need to address on the highest priority by the stakeholders.

Research limitations/implications

This study is beneficial for the managers to formulate their strategies for the adoption of circular practices. The prioritisation of critical factors supports the managers and professionals to optimise their effort and resources to adopt the circular practice.

Originality/value

This study explores and analyses the critical factor for circular economy practice adoption in the supply chain in the context of emerging economies.

Details

Journal of Modelling in Management, vol. 18 no. 5
Type: Research Article
ISSN: 1746-5664

Keywords

Article
Publication date: 1 December 1998

T. Thiagarajan and M. Zairi

This paper discusses an empirical analysis of total qulaity management (TQM) critical factors using an adaptation of a questionnaire used previously in the USA. Since the context…

2581

Abstract

This paper discusses an empirical analysis of total qulaity management (TQM) critical factors using an adaptation of a questionnaire used previously in the USA. Since the context of this analysis was the Malaysian approach to TQM implementation, the measuring scale was designed so that it can not only capture the degree of perception and understanding of each critical factor, but also measure the order of criticality of each factor. A total of 22 critical factors in all were found to predominate and these were classified in three separate tiers, thus giving them a structure. The findings were very compatible with those highlighted in the literature and also covered by similar studies. An index of comparative criticality was developed, leading to the proposal of a self‐assessment tool which can be used for a variety of purposes such as self‐assessment for developing an improvement plan and also for benchmarking the degree of implementation of each critical factor against the index produced as a standard.

Details

Benchmarking for Quality Management & Technology, vol. 5 no. 4
Type: Research Article
ISSN: 1351-3036

Keywords

Article
Publication date: 11 October 2021

Fatemeh Hamidinava, Abdolhamid Ebrahimy, Roohallah Samiee and Hosein Didehkhani

The purpose of this study was to demonstrate a cloud business intelligence model for industrial SMEs. An initial model was developed to accomplish this, followed by validation and…

1027

Abstract

Purpose

The purpose of this study was to demonstrate a cloud business intelligence model for industrial SMEs. An initial model was developed to accomplish this, followed by validation and finalization of the cloud business intelligence model. Additionally, this research employs a mixed-techniques approach, including both qualitative and quantitative methods. This paper aims to achieve the following objectives: (1) Recognize the Cloud business intelligence concepts. (2) Identify the role of cloud BI in SMEs. (3) Identify the factors that affect the design and presenting a Cloud business intelligence model based on critical factors affecting SMEs during pandemic COVID-19. (4) Discuss the importance of Cloud BI in pandemic COVID-19 for SMEs. (5) Provide managerial implications for using Cloud BI effectively in Iran’s SMEs.

Design/methodology/approach

In the current study, an initial model was first proposed, and the cloud business intelligence model was then validated and finalized. Moreover, this study uses a mixed-methods design in which both qualitative and quantitative methods are used. The fuzzy Delphi Method has been applied for parameter validation purposes, and eventually, the Cloud business intelligence model has been presented through exploiting the interpretive structural modeling. The partial least squares method was also applied to validate the model. Data were also analyzed using the MAXQDA and Smart PLS software package.

Findings

In this research, from the elimination of synonym and frequently repeated factors and classification of final factors, six main factors, 24 subfactors and 24 identifiers were discovered from the texts of the relevant papers and interviews conducted with 19 experts in the area of BI and Cloud computing. The main factors of our research include drivers, enablers, competencies, critical success factors, SME characteristics and adoption. The subfactors of included competitors pressure, decision-making time, data access, data analysis and calculations, budget, clear view, clear missions, BI tools, data infrastructure, information merging, business key sector, data owner, business process, data resource, data quality, IT skill, organizational preparedness, innovation orientation, SME characteristics, SME activity, SME structure, BI maturity, standardization, agility, balances between BI systems and business strategies. Then, the quantitative part continued with the fuzzy Delphi technique in which two factors, decision-making time and agility, were deleted in the first round, and the second round was conducted for the rest of the factors. In that step, 24 factors were assessed based on the opinions of 19 experts. In the second round, none of the factors were removed, and thus the Delphi analysis was concluded. Next, data analysis was carried out by building the structural self-interaction matrix to present the model. According to the results, adoptability is a first-level or dependent variable. Regarding the results of interpretive structural modeling (ISM), the variable of critical success factors is a second-level variable. Enablers, competencies and SME characteristics are the third-level and most effective variables of the model. Accordingly, the initial model of Cloud BI for SMEs is presented as follows: The results of ISM revealed the impact of SME characteristics on BI critical success factors and adoptability. Since this category was not an underlying category of BI; thus, it played the role of a moderating variable for the impact of critical success factors on adoptability in the final model.

Research limitations/implications

Since this study is limited to about 100 SMEs in the north of Iran, results should be applied cautiously to SMEs in other countries. Generalizing the study's results to other industries and geographic regions should be done with care since management perceptions, and financial condition of a business vary significantly. Additionally, the topic of business intelligence in SMEs constrained the sample from the start since not all SMEs use business intelligence systems, and others are unaware of their advantages. BI tools enable the effective management of companies of all sizes by providing analytic data and critical performance indicators. In general, SMEs used fewer business intelligence technologies than big companies. According to studies, SMEs understand the value of simplifying their information resources to make critical business choices. Additionally, they are aware of the market's abundance of business intelligence products. However, many SMEs lack the technical knowledge necessary to choose the optimal tool combination. In light of the frequently significant investment required to implement BI approaches, a viable alternative for SMEs may be to adopt cloud computing solutions that enable organizations to strengthen their systems and information technologies on a pay-per-use basis while also providing access to cutting-edge BI technologies at a reasonable price.

Practical implications

Before the implementation of Cloud BI in SMEs, condition of driver, competency and critical success factor of SMEs should also be considered. These will help to define the significant resources and skills that form the strategic edge and lead to the success of Cloud BI projects.

Originality/value

Most of the previous studies have been focused on factors such as critical success factors in cloud business intelligence and cloud computing in small and medium-sized enterprises, cloud business intelligence adoption models, the services used in cloud business intelligence, the factors involved in acceptance of cloud business intelligence, the challenges and advantages of cloud business intelligence, and drivers and barriers to cloud business intelligence. None of the studied resources proposed any comprehensive model for designing and implementing cloud business intelligence in small and medium-sized enterprises; they only investigated some of the aspects of this issue.

Details

Kybernetes, vol. 52 no. 1
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 12 October 2012

Goparaju Purna Sudhakar

Existing models of critical success factors of software projects have less concentration on communication, team, project management and product related factors. Hence, the purpose…

8511

Abstract

Purpose

Existing models of critical success factors of software projects have less concentration on communication, team, project management and product related factors. Hence, the purpose of this paper is to develop a conceptual model of critical success factors (CSFs) for software development projects, categorize the success factors, finding the factors in each category and highlighting the product, team, project management and communication factors as important categories of success factors for software projects.

Design/methodology/approach

A conceptual model and seven categories of success factors comprising a total of 80 success factors for software development projects were identified based on the thorough literature review. These 80 factors are collected based on their importance to software projects and their repeated occurrence in the literature related to CSFs. Based on the occurrence of the success factor in the literature, each category comprising top five success factors are identified as critical success factors for software projects. Based on these seven categories of success factors a conceptual model was developed.

Findings

A total of 35 CSFs from seven CSF categories are identified from secondary research of the CSFs for software development projects. The identified CSFs include communication in project, top management support, clear project goal, reliability of output, project planning, teamwork, project team coordination, quality control, client acceptance, accuracy of output, reduce ambiguity, maximize stability, realistic expectations and user involvement. Project management, product, team and communication factors are identified as important categories of success factors for software projects.

Research limitations/implications

Different categories of critical success factors such as product, project management, team and communication, which were not highlighted or categorized earlier in the literature are discussed in this current work.

Practical implications

This research is definitely useful for organizations working on software projects. The project managers working in the industry can benefit from the mentioned critical success factors and the categories of factors by concentration on them while planning and executing software projects.

Originality/value

The conceptual model, categorization of CSFs, identifying 35 CSFs for software projects and highlighting product, team and communication factors are major contributions of this research work.

Details

Journal of Enterprise Information Management, vol. 25 no. 6
Type: Research Article
ISSN: 1741-0398

Keywords

Article
Publication date: 23 January 2024

Hao Chen and Yuge Hai

Effective information security management (ISM) contributes to building a healthy organizational digital ecology. However, few studies have built an analysis framework for critical

Abstract

Purpose

Effective information security management (ISM) contributes to building a healthy organizational digital ecology. However, few studies have built an analysis framework for critical influencing factors to discuss the combined influence mechanism of multiple factors on ISM performance (ISMP). This study aims to explore the critical success factors and understand how these factors contribute to ISMP.

Design/methodology/approach

This study used a mixed-method approach to achieve this study’s research goals. In Study 1, the authors conducted a qualitative analysis to take a series of International Organization for Standardization/International Electrotechnical Commission standard documents as the basis to refine the critical factors that may influence organizations’ ISMP. In Study 2, the authors built a research model based on the organizational control perspective and used the survey-based partial least squares-based structural equation modeling (PLS-SEM) approach to understand the relationships between these factors in promoting ISMP. In Study 3, the authors used the fuzzy set qualitative comparative analysis (fsQCA) method to empirically analyze the complex mechanisms of how the combinations of the factors affect ISMP.

Findings

The following three research findings are obtained. First, based on the text-based qualitative analysis, the authors refined the critical success factors that may increase ISMP, including information security policies (ISP), top management support (TMS), alignment (ALI), information security risk assessment (IRA), information security awareness (ISA) and information security culture (ISC). Second, the PLS-SEM testing results confirmed TMS is the antecedent variable motivating organization’s formation (ISP) and information control (ISC) approaches; these two types of organization control approaches increase IRA, ISA and ALI and then promote ISMP directly and indirectly. Third, the fsQCA testing results found two configurations that can achieve high ISMP and one driving path that leads to non-high ISMP.

Originality/value

This study extends knowledge by exploring configuration factors to improve or impede the performances of organizations’ ISM. To the best of the authors’ knowledge, this study is one of the first to explore the use of the fsQCA approach in information security studies, and the results not only revealed causal associations between single factors but also highlighted the critical role of configuration factors in developing organizational ISMP. This study calls attention to information security managers of an organization should highlight the combined effect between the factors and reasonably allocate organizational resources to achieve high ISMP.

Details

Information & Computer Security, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2056-4961

Keywords

Article
Publication date: 24 May 2023

Mohammad S. Al-Mohammad, Ahmad Tarmizi Haron, Rahimi A. Rahman and Yasir Alhammadi

This study examines the underlying relationships between the critical factors of building information modeling (BIM) implementation and the factors' groupings among architecture…

Abstract

Purpose

This study examines the underlying relationships between the critical factors of building information modeling (BIM) implementation and the factors' groupings among architecture, engineering and construction (AEC) organizations in Saudi Arabia. The objectives of the study are to (1) identify the critical factors for BIM implementation, (2) analyze the interrelationships between the critical factors and (3) compare the critical factors between the different organizational characteristics.

Design/methodology/approach

First, potential factors were identified through a systematic literature review and interviews with AEC professionals. Then, a questionnaire survey was sent to AEC professionals and the collected data were analyzed using the following techniques and tests: mean score ranking, standard deviation, normalized value, factor analysis (FA), analysis of variance (ANOVA) and post-hoc Tukey test.

Findings

The analyses show that 14 factors are critical for BIM implementation in Saudi Arabia. The top critical factors include the existence of standard contracts on data security and user confidentiality, consistent views on BIM among stakeholders and the availability of guidelines for implementing BIM. Of the 14 critical factors, 9 can be grouped into 4 underlying factors: environmental, governmental, legal and organizational. The analysis shows that the criticality of the most critical factors grouped by the FA varies between different levels of BIM competency. Finally, the presence of public–private partnerships (PPPs) in realizing BIM projects is a new and emerging critical factor for BIM implementation in Saudi Arabia.

Originality/value

This study differs from prior works on BIM implementation in Saudi Arabia by using FA to explore the underlying relationships among factors of BIM implementation and the factors' groupings. Based on the FA results, a roadmap for implementing the BIM was developed. These findings will help to purposefully and efficiently customize BIM implementation strategies and initiatives to ensure successful BIM implementation in Saudi Arabia.

Details

International Journal of Building Pathology and Adaptation, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2398-4708

Keywords

Article
Publication date: 31 January 2023

Shuvo Dip Datta, Md. Habibur Rahman Sobuz, Mohammad Nafe Assafi, Norsuzailina Mohamed Sutan, Md. Nazrul Islam, Maria Binte Mannan, Abu Sayed Mohammad Akid and Noor Md. Sadiqul Hasan

This paper aims to identify the critical project management success factors and analyze those factors to achieve a sustainable construction industry in Bangladesh.

Abstract

Purpose

This paper aims to identify the critical project management success factors and analyze those factors to achieve a sustainable construction industry in Bangladesh.

Design/methodology/approach

This study identified 41 major problematic factors from the related literature. In this research, a detailed questionnaire survey was conducted among the experts and stakeholders of the construction industry of Bangladesh. The survey was carried out on a Likert scale and ranked the critical factors using the relative importance index (RII). The 41 problematic factors were divided into five group factors and ranked by the RII index to prioritize the factors. Finally, stakeholders' opinions were analyzed with the critical assessed factors, which was a very effective technique to eliminate the risks and uncertain occurrences in the construction industry of Bangladesh.

Findings

The factors analysis revealed that cost overrun, traffic jam, low wedges, slow payment for completed works and financial issues of the owner were leading critical factors in construction projects. Moreover, the critical factors are divided into five-factor groups, namely, financial management, monitoring and feedback, competency management, communication and coordination management, and risk management, which exhibit 0.767, 0.720, 0.711, 0.710 and 0.658 RII values. After all, the stakeholders' opinion suggested that implementing modern tools and techniques can help to avoid the critical situation in the construction industry of Bangladesh.

Practical implications

The construction industry of Bangladesh is moving away from stable construction work day by day. Previously, the potential CSFs were discussed unstructured way. Hence, detecting early warning signals in a structured way has become necessary for the building firm's survival.

Originality/value

Though some scattered critical issues are discussed in different literature, the critical issues of the Bangladeshi construction industry were not investigated extensively. Therefore, this study finds out the potential critical issues of the construction industry of Bangladesh to accumulate such harmful construction issues in a single platform so that the construction industry can have an overview of them with the help of innovative technologies.

Details

International Journal of Building Pathology and Adaptation, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2398-4708

Keywords

Article
Publication date: 26 April 2022

Mohammad S. Al-Mohammad, Ahmad Tarmizi Haron, Muneera Esa, Mohammad Numan Aloko, Yasir Alhammadi, K.S. Anandh and Rahimi A. Rahman

This study aims to empirically analyze the symmetries and asymmetries among the critical factors affecting building information modeling (BIM) implementation between countries…

Abstract

Purpose

This study aims to empirically analyze the symmetries and asymmetries among the critical factors affecting building information modeling (BIM) implementation between countries with different income levels. To achieve that aim, the study objectives are to identify: critical factors affecting BIM implementation in low-, lower-middle-, upper-middle- and high-income countries; overlapping critical factors between countries with different income levels; and agreements on the critical factors between countries with different income levels.

Design/methodology/approach

This study identified potential BIM implementation factors using a systematic literature review and semi-structured interviews with architectural, engineering and construction (AEC) professionals. Then, the factors were inserted into a questionnaire survey and sent to AEC professionals in Afghanistan, India, Malaysia and Saudi Arabia. The collected data was analyzed using the following techniques and tests: mean, standard deviation, normalized value, Kruskal–Wallis, Dunn and Mann–Whitney.

Findings

Five critical factors overlap between all countries: “availability of guidelines for implementing BIM,” “cost-benefit of implementing BIM,” “stakeholders’ willingness to learn the BIM method,” “consistent views on BIM between stakeholders” and “existence of standard contracts on liability and risk allocation.” Also, the criticality of the factors often differs between income levels, especially between low- and high-income countries, suggesting a significant gap between low- and high-income countries in BIM implementation.

Originality/value

This study differs from prior works by empirically analyzing the symmetries and asymmetries in BIM implementation factors between countries with different income levels (i.e. low-, lower-middle-, upper-middle- and high-income countries).

Details

Construction Innovation , vol. 23 no. 3
Type: Research Article
ISSN: 1471-4175

Keywords

Article
Publication date: 7 October 2014

Nilda Tri Putri, Sha’ri Mohd. Yusof and Dradjad Irianto

The purpose of this paper is to empirically evaluate the critical factors for successful quality engineering (QE) implementation in automotive-related companies in Malaysia and…

Abstract

Purpose

The purpose of this paper is to empirically evaluate the critical factors for successful quality engineering (QE) implementation in automotive-related companies in Malaysia and Indonesia. The existence of these critical factors for the successful application of QE would help the automotive industries, especially in Malaysia and Indonesia, to be able to investigate their current QE practices and how they could be improved.

Design/methodology/approach

Delphic hierarchy process (DHP) methodology is used in this study. The DHP method is a combination of the Delphi method and the analytic hierarchy process (AHP) approach for determining the ranking of the factors and sub factors needed for successful QE implementation. The Delphi method is employed to gather data from automotive experts in both countries and the AHP approach is used to rank the critical factors for success of QE practices.

Findings

The findings of this study showed that the automotive industries in Malaysia and Indonesia stressed the importance of management responsibility and people management for the successful implementation of QE. Strategic quality planning, continuous improvement, and technology- and production-related resources are the most important sub factors for successful QE in both countries.

Research limitations/implications

The series of rounds that took place during the Delphi method increased the length of time required for data collection and the follow-up process. On the basis of the consideration given, the limited resources included time, financial resources, and technical availability for this study, which resulted in the small sample sizes used.

Practical implications

The ranking of the critical factors and sub factors for QE implementation could be useful for automotive-related companies in Malaysia and Indonesia to create action plans for improving their QE implementation.

Originality/value

The instrument that was developed is a contribution toward characterizing critical factors for QE. Using DHP methodology, nine factors and 31 sub factors have been validated through a series of rounds of the Delphi method. It was developed based on industry experts’ inputs. Therefore, the critical factors represent actual situation for QE success.

Article
Publication date: 24 January 2024

Mazen M. Omer, Tirivavi Moyo, Ahmad Rizal Alias and Rahimi A. Rahman

This study aims to develop workplace well-being indexes for construction sites of different project types (infrastructure, high-rise and low-rise). Accordingly, the study…

Abstract

Purpose

This study aims to develop workplace well-being indexes for construction sites of different project types (infrastructure, high-rise and low-rise). Accordingly, the study objectives are to identify the critical factors that affect workplace well-being at construction sites, compare the critical factors between different project types, categorize the critical factors into subgroups and compute indexes for the critical factors and subgroups.

Design/methodology/approach

Data from a systematic literature review and semi-structured interviews with construction industry professionals were used to extract 19 potential factors that affect workplace well-being. Then, a structured questionnaire survey was distributed, and 169 valid responses were collected. Finally, the data were analyzed using normalized mean analysis, agreement analysis, factor analysis and fuzzy synthetic evaluation.

Findings

The study findings revealed that there are 11, 11, 8 and 12 critical factors across overall infrastructure, high-rise and low-rise construction projects. Out of those, six critical factors are overlapping across project types, including “general safety and health monitoring,” “salary package,” “timeline of salary payment,” “working hours,” “communication between workers” and “planning of the project.” Accordingly, the critical factors can be categorized into two subgroups within each project type. Finally, the development of indexes shows that infrastructure construction projects have the greatest index compared to other project types.

Originality/value

This study contributes to filling the current knowledge gap by developing workplace well-being indexes at construction sites across different project types. The indexes would assist decision-makers in understanding the current state of workplace well-being. This increases the commitment and recognition of well-being across different construction project types.

Details

Journal of Engineering, Design and Technology , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1726-0531

Keywords

1 – 10 of over 182000