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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.

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.

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.

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.

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.

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.

Employee suggestion scheme (ESS) have existed for many years and many articles have been published over the past decades. They have been studied from many perspectives to illustrate their objectives, nature, content, process, significance and the benefits. Arguments have also been made with respect to success and failures of the suggestion schemes. Although the corporations widely use the suggestion schemes to elicit the creative ideas of their employees, sustaining a suggestion scheme is still a challenge. The purpose of this paper is to extract the critical success factors and critical success criteria to the suggestion scheme and to discuss the importance of these factors on sustainability of suggestion system. This is a literature review paper.

This is a literature review paper. The research used the university library to search for the relevant material. The university has an access for 25,000 journals. As the university had the subscription to main databases such as EBASCO, SCIENCE DIRECT, EMERALD, Google Scholar and WILEY, a search was performed on these databases using the key terms. The keywords used in the searches included: Suggestion System, Suggestion Scheme, Employee Participation, Employee Involvement, Innovation, Employee Creativity and Ideas Management. The Google Scholar citation tab was also searched further to identify any related articles. The citations of resulting articles were scrutinized further for further clues.

This paper identifies 23 critical success factors and 9 critical success criteria for suggestion schemes. It also discusses the interconnection between the critical success factors and the critical success criteria. Further, the frequency of each of the factors is also presented. It recognizes the lack of work on the assessment framework for sustainability of a suggestion scheme.

This paper should be of value to practitioners of suggestion schemes and to academics who are interested in knowing how this program has evolved and where it is today and what future it holds. It offers practical help to an individual starting out on research on the sustainability of suggestion schemes.

The paper attempts to put together many factors discussed in the literature and proposed a definition to define the sustainability of the suggestion system and categorized them as critical success factors and critical success criteria.

The purpose of this paper is to examine the perceptions of local project teams on critical success factors and project success in the context of international development projects in Maldives. It identifies the critical success factors of international development projects, examines how the success of international development projects in Maldives is perceived by local project team members, and analyzes the relationship between critical success factors and project success from the project teams’ perspective.

A survey questionnaire was used and 41 project team members participated in the study. Correlation analysis and regression analysis were performed to understand the relationship with project success and critical success factors.

The study found out that the levels of success of projects were perceived high among the project teams. The results indicated that monitoring CSF, coordination CSF, design CSF, training CSF, and institutional environment CSF had a significant relationship with project success. However, results of the regression analysis indicated that only monitoring CSF was significant in influencing project success.

The limited sample size and optimism bias of respondents were a constraint. Furthermore, further analysis of data may be required to advance analysis.

The study looks through the lens of project implementation teams in order to provide insights from their vantage point. The study provides insights based on the Maldivian context which will benefit similar island nation communities implementing similar projects.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

This study deals with the results of an investigation to recognize and prioritize key and critical success factors to achieve predetermined goals in strategic plans of SAIPA Press Co., producer of Automobile parts.

In this study, Sirus and Moghaddam model, 2007, is used to identify critical success factors. also, a descriptive statistical method is used to analyze population data, and Friedman method to answer the questions

Recognition the 24 key success factors, priority of them, being as the critical success factors or core competencies are the results of this research.

Key success factors determine those performance fields that manager should notice permanently. These factors have most importance in executing this strategy

Key factors concepts for success is not a new revolution in occupation. These concepts were suggested by Ronald Daniel in 1960s. But nowadays, these concepts and approaches become more powerful. The most successful organizations in new millennium are those that from one hand have brilliant strategic views and from the other hand have guidelines and tactics to achieve success Key success goals and factors are both necessary to conduct organization to its mission. Key success factors make goals powerful directly and make mission powerful indirectly.

The manufacturing sector has been observing various benefits by the implementation of lean manufacturing practices. However, the manufacturing sector has neglected the significance of health and safety management system implementation. The purpose of this research is to propose and validate an occupational health and safety management systems (OHSMS) framework based on critical success factors and their relationships in the lean manufacturing organizations.

A critical literature review was conducted to identify the success factors of OHSMS. Subsequently, a questionnaire survey and semi-structured interviews were conducted with experts from process industries to consolidate the critical success factors. After consolidating the critical success factors, relationships among critical success factors were established with the help of interpretive structural modelling using a team of 12 experts from industry and academia. These established relationships helped in proposing the hierarchical implementation framework. Finally, the validation of the proposed implementation framework was carried out using structural equation modelling (SEM).

This study has identified nine broader critical success factors for implementation of OHSMS in lean manufacturing organizations, especially the process industry. Subsequently, this study has proposed an OHSMS framework with nine broader critical success factors to implement in lean manufacturing organizations. Finally, the proposed framework has been validated using SEM with an appropriate sample size.

This study is helpful to the organizations to implement OHSMS without losing the essence of lean manufacturing strategy. This study has proposed a framework for implementation of OHSMS in the lean manufacturing organizations, especially process industry sector. This study also provided confidence to the organization through the validation of proposed framework in the process industry.

To the best of the authors’ knowledge, this study is first of its kind in this field of OHSMS in lean manufacturing organizations, especially the process industry. This study has involved both academicians and industry experts to bring more robust outcomes. This study proposed a unique framework to implement OHSMS in lean manufacturing organizations. This study has considered a comprehensive literature to develop a framework for OHSMS in lean manufacturing organizations. An implementation framework was proposed by considering both the academicians’ and industry professionals’ opinions. The proposed framework was statistically validated. This will be helpful in effective implementation of OHSMS strategy in lean manufacturing organizations, especially process industry sector.

The purpose of this study is to investigate the current literature that has explored project success in the information and communication technology (ICT) sector.

The literature search was carried out for related articles in three databases: the Web of Science, Scopus and Ebscohost. Using a systematic literature review (SLR) methodology, 75 related articles were sorted out. Furthermore, the methods of frequency and content analysis were used to identify, categorize and arrange critical success factors (CSF) of ICT projects based on their importance, interrelation and cultural regions.

The findings in this study revealed that interest in researching success in ICT projects has increased significantly during the last five years. Through reviewing the selected articles, 25 CSF were identified. User participation, stakeholder relationship, project manager emotional intelligence, communication skills, and leadership skills, and top management support in the project emerged as the most important factors for ICT projects. Furthermore, we found that each regional group gives different level of importance to different CSF.

This study gives the opportunity to practitioners to control the highest value CSF to increase the success rate of ICT projects carried out in different cultural regions.

As the first study of its type, CSF were divided for different cultural regional groups. This paper further explained that certain CSF have different levels of importance in different culture regions. This study suggests that regional culture needs consideration during the evaluation of CSF.

Coopetition is a revolutionary mindset that combines competition and cooperation. This paper aims to determine and to examine success factors critical to coopetition strategy management and to explore the identified factors in Hong Kong manufacturing.

Based on a literature review and expert interviews following the analytic hierarchy process, this paper identifies and prioritizes seven critical success factors and 17 critical success sub‐factors comprising three success factor categories: management commitment, relationship development, and communication management.

The results show that management leadership and development of trust are the most important success factors. Based on the factors identified, the authors propose a hierarchical model for coopetition strategy management, which has been validated in Hong Kong industry to facilitate the formulation of action plans for better coopetition management.

The prioritization of critical success factors and sub‐factors can help practitioners understand their relative importance and develop improvement plans in cases where they lack sufficient resources to deal with all factors simultaneously.

This paper identifies the critical factors for implementing coopetition and also validates and prioritizes them in Hong Kong manufacturing industry. It provides valuable information that can help manufacturers accomplish coopetition.

The purpose of this paper is to examine the success of enterprise resource planning (ERP) implementation based on five identified items, i.e. top management commitment (TMC), user involvement (UI), business process reengineering (BPR), project management (PM) and ERP teamwork and composition (TWC) factors at Fortis hospital, Bangalore, India. It also tests a number of hypotheses and examines the hypothetical relationships among critical success items and success of ERP implementation.

Empirical data were collected via a survey questionnaire/interview technique. A structured interview was planned and conducted with key executives of Fortis hospital who were familiar with success of ERP implementation progress as well as examination of company documentation supported by literature.

A significant relationship was found between TMC, UI, BPR, PM and ERP TWC with success of ERP implementation at Fortis hospital.

The value of this paper is that it presents any hospital wishing to implement ERP with a set of critical success factors. Understanding the critical success factors would lead to a smoother implementation in hospital industry. Although as a single case study the ability to generalize the findings is narrow, support from literature and experiences add the knowledge to ERP implementation in healthcare sector in India.