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This article aims to investigate motivations, success factors, problems, and business‐related stress of entrepreneurs in small‐ and medium‐sized enterprises and relates them to the success of the Chinese entrepreneurs.

A total of 196 entrepreneurs in Beijing, Shanghai, and Guangzhou were randomly selected for a survey, which was analyzed to determine motivations, success factors, problems, and business‐related stress by gender. Ordered logit models were applied to motivation and success factors.

Results showed that 68 percent were male and 32 percent female. The average age of the entrepreneurs was about 32 years old and time devoted to their business was almost 45 hours per week. Of the total respondents, 56 percent were married and 44 percent single. When asked to indicate their motives for business ownership, these entrepreneurs suggested that increasing income, becoming their own boss, and to prove that they can succeed were the most important reasons. Reputation for honesty, providing good customer services, and having good management skills were reported to be necessary conditions for business success. Friendliness to customers and hard work were also critical for high‐performance enterprises. Among the problems encountered by entrepreneurs, unreliable/undependable employees were the most critical. Intense competition and lack of management training also proved to be great challenges for Chinese entrepreneurs.

Policy makers can strengthen its small business entrepreneurs by promoting the factors that lead to entrepreneurs' success, such as the ability to manage personnel and management skills through business outreach services provided by universities, government agencies, and nonprofit organizations. In addition, the government has the ability to simplify the tax system, and reduce payroll taxes. Technical assistance in areas such as market research, human resources management, and technological support should be provided to small business owners.

This study applied to Chinese entrepreneurs in addition to an extensive analysis of the factors that affect motivations, success, problems, and business stress.

Entrepreneurship in developing countries is arguably the least studied significant economic and social phenomenon. Previous studies focused on describing the attributes of entrepreneurship rather than providing a framework, in which entrepreneurs and policy makers alike can rationally plan and execute innovative business models. Current issues facing Malaysian entrepreneurs include low level of technology, lack of innovation through research and development, low working capital, and of highly domestic orientations. This led to a lack of resilience and efficiency among the entrepreneurs, thus rendering them ill‐equipped to compete globally. This adverse scenario is increasingly apparent among Bumiputera (Native of Malaysia) entrepreneurs as the growth of entrepreneurial activity has not been in tandem with the pace of the overall development of the nation. Hence, this study seeks to identify factors leading to success and failure so that Bumiputera entrepreneurs can prevent failure by correcting problems, and appreciate what it takes to succeed. Ultimately, a framework of success is proposed as a comprehensive tool to enhance their survival in a competitive global economy.

A survey instrument was used, and a total of 1,500 Bumiputera entrepreneurs participated, covering all the states in Malaysia.

The findings confirmed that eight factors are vital to the success of Bumiputera entrepreneurs. In rank order of importance, these factors are advancement drive, achievement oriented, commitment, decision‐making ability, managing risk, tenacity, networking, and optimism. As for the factors leading to the failure of Bumiputera entrepreneurs, inability to compete, lack of competency and capital, customer‐related problems, employee‐related problems, unfavourable economic conditions, bureaucracy, supplier discrimination, and negative community attitudes were found to be crucial.

The paper develops a framework to aid the success of Bumiputera entrepreneurs in Malaysia.

Women and men business owners are often thought to have different success criteria for their businesses, but there is little empirical research to support this. The purpose of this paper is to investigate the nature of self-defined success factors, and to compare women and men’s success criteria.

This study surveyed 216 New Zealand business owners’ (78 women, 138 men) self-perceived success criteria for their businesses. Results are based primarily on an open-ended question on their interpretation of what success means to them. In total, 30 main categories of success factors were identified, and the four main factors analyzed in depth.

The four most frequently occurring success factors were financial success, personal satisfaction, work-life/work-family balance, and satisfied stakeholders. Women and men business owners described very similar success criteria, which were balanced across financial success and personal and relationship factors. No statistically significant gender differences were found in the incidence of these success factors, suggesting a movement of male business owners to a more holistic view of business success that incorporates financial success, alongside personal and relationship aspects.

Offers implications for researchers, policy makers, and practitioners. Highlights the need to be careful when designing research studies in multi-faceted areas such as business success, and also in gender comparative studies.

Uses self-perceived success criteria to assess gender differences.

The purpose of this paper is to understand what was important to managers of businesses in desert Australia, and in particular, what they needed for the businesses to be successful.

There were two studies. In Study 1, 88 managers of business in remote desert Australia were interviewed. In Study 2, 112 managers who had business in regional desert Australia participated in an on‐line survey.

In both studies, the respondents claimed that their businesses were reasonably successful. In Study 1, the interviewees said that making a living and seeing the business grow were important indices of success. In Study 2, customer/client satisfaction was the strongest indicator of business success. Factors such as safe and all‐weather roads, internet/e‐mail access and reliable power supplies were important to this success. The importance to business success of a number of leadership behaviours was also identified.

Future research needs to encourage a larger number of managers to participate. In addition, suppliers and customers of the businesses need to be included.

This is the first study in which managers were included, because normally, only owner‐managers are involved. It is also the first study of its kind to be undertaken in desert Australia.

Prior studies by Salaheldin (2009) and Talib et al. (2011) have assessed the relationships between TQM critical success factors (CSF) and business results. The purpose of this paper is to build upon this research by considering the relationships between these CSFs and their sequencing during the implementation of TQM. Furthermore, the influence exerted by the maturity of TQM implementation on the link between instrumental drivers and performance is explored.

The TQM drivers are clustered by means of three constructs: strategic enablers, tactical drivers and instrumental drivers and a model employed in which the strategic and tactical factors are treated as antecedents of the instrumental drivers. The direct effect of each cluster on business results and the indirect relationship of strategic and tactical factors via the mediating role of the instrumental drivers are assessed. These assessments use the partial least squares (PLS) approach which is a variance-based structural equation modeling technique using a sample of 113 Spanish organizations with experience of implementing a TQM program.

The findings confirm the existing relationships among the CSFs and business performance identified by studies Salaheldin (2009) and Talib et al. (2011). However, the results reveal that instrumental drivers possess the highest variance explanation power over business performance outcomes and it is possible to identify a CSF implementation sequence that generates the greatest impact on business performance. Furthermore, the study was inconclusive with regard to the influence exerted by the number of years of TQM implementation on the link between the instrumental drivers and performance.

The first is related to organizational bias. It seems likely that those firms which are not satisfied with their TQM system performance would be less likely to be motivated to contribute to the development of this study. Therefore, the authors have included in the sample a higher proportion of “good” systems than is the case in the population at large. Second, although the authors provide evidence of causality, causality itself has not been proven. Third, this research relies mainly on perceptions and the authors only used a single method to elicit these perceptions. Finally, this research was carried out in a specific geographical setting (Spanish companies) and the authors must be cautious about generalizing these results in other contexts.

This study offers a substantial number of practical implications. First firms’ managers should emphasize that continuous improvement, benchmarking and zero-defects mentality is a never-ending process. Especially, they should understand that reliable product/service design is critical to exceed the customers’ expectations, leading to improved business success. The results of this study should also lead managers to seeing a “return on investment” in their efforts to implement a TQM program by first, paying more attention on how to implement the instrumental factors, and second, avoiding the belief that the passage of time and experience-based learning will bring business performance enhancement and success on their own.

Although, the literature agrees that strategic factors are valuable assets and have a crucial role in the deployment of TQM systems, the study empirically validates this assertion. However, at the same time it shows that this impact on performance is stronger and much more significant by reconfiguring instrumental factors. This implies that strategic and tactical factors do have an effect on business success, but they do so indirectly, by reconfiguring and reinforcing instrumental factors that better fit the stakeholders’ needs and expectations.

The results suggest the need to consider whether all the CSFs are equally relevant on the basis of their contribution to business success. For example, strategic enablers are generally considered to be of primary importance with tactical and instrumental drivers assuming a secondary position. The study challenges this view and highlights the role of instrumental drivers over strategic and tactical factors with the clear implication that managers should focus strongly on daily implementation tasks such as benchmarking, zero-defects mentality and continuous improvement processes in order to achieve good business performance outcomes.

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.

Enterprise systems integration (ESI) is necessary for today’s business environment to access real-time data and quickly respond to fluctuating market demand. business process change (BPC) as a significant prerequisite of ESI encompasses various challenges that must be tackled by employing success factors, techniques and approaches. The purpose of this paper is to focus on BPC challenges and develop a conceptual framework for addressing BPC challenges in ESI.

BPC challenges and their success factors were first identified through a literature analysis. Then, the findings from the literature were thematically analysed and qualitatively validated through 35 unstructured interviews for developing the conceptual framework.

The findings from the literature suggested 17 BPC challenge along with their success factors. During the validation process, 15 BPC challenges were accepted by all interviewees, while most of the respondents disagreed with the two challenges of “consolidation of information system re-engineering with BPR”, and “customization”. Moreover, “risk” was suggested as a BPC challenge by several interviewees. Thus, the study offered a modified list of BPC challenges, which was empirically validated.

The study proposes a conceptual framework for addressing BPC challenges in ESI that enables enterprises to design their systems integration roadmap, based on an understanding of BPC challenges and their success factors, as well as supporting solution providers to develop solutions for effective and efficient BPC. Furthermore, the framework will act as a basis for BPC and developing a similar framework for other related contexts, such as smart cities.

The purpose of this paper is to develop an integrated framework to explore the influences of electronic customer relationship management (ECRM) success factors (process fit, customer information quality and system support) on customer satisfaction, customer trust and customer retention, which, in turn, impact upon the business financial performance of Jordanian commercial banks in Amman city.

Using a sample of 343 branch managers, assistant branch managers and heads of departments in Jordanian commercial banks, who answered a self-administrated questionnaire, data were collected and analysed using structural equation modelling (AMOS 17.0).

The results showed that the ECRM success factors (process fit, customer information quality and system support) positively affected customer satisfaction, customer trust and customer retention. Furthermore, the authors discovered that customer satisfaction and customer trust positively influenced customer retention. It was determined that customer satisfaction, customer trust and customer retention positively impact on a business’s financial performance.

Previous research lacks the link between ECRM success factors and business performance (financial and non-financial).

The purpose of this paper is to examine how business owners in microbusinesses perceive success and how that perception may influence the growth of their enterprise.

The results of three separate studies were analysed. The data were collected with questionnaires and interviews among microbusinesses in the industries of craft and rural tourism in the area of North Karelia, Eastern Finland. Both quantitative and qualitative methods were used in the analysis.

The paper found that the motives and goals of the small business owners were not oriented towards growth, but to quality of life, job satisfaction and satisfied clientele. Consequently, business success was measured by the respect and satisfaction of the customers, job satisfaction and the quality of product. From an economic perspective, making a reasonable living, not growth, constituted a measure of success.

Generalisation is affected by the fact that the study concerns two individual industries in a small geographical area.

For policy makers, the study offers insight into the factors that affect the behaviour and decision‐making of the microbusiness entrepreneurs and, thus, the performance of their enterprise.

The study contributes to theory development by examining the little studied possible conflicts between financial and personal measures of success.

This study contributes to answering the question, can critical success factors of small businesses in emerging markets advance United Nation (UN) Sustainable Development Goals (SDGs)? Specifically, this study aims to explore the critical factors contributing to the success of small businesses and ultimately the UN SDGs in the emerging market of Nigeria.

The design is survey research testing the Lussier success vs failure prediction model for small businesses in Nigeria. The methodology includes a logistic regression model to better understand and predict the factors that contribute to success or failure using a data set of 201 small businesses in Nigeria.

The findings support the validity of the Lussier model (p = 0.000) in Nigeria as the model accurately predicted 84.4% of the small businesses as successful or failed with a high R-square value (R = 0.540). The most significant factors (t-values < 0.05) that predict the success or failure of businesses support the findings that business owners that start with adequate capital, keep records and financial controls, use professional advice, have better product/service timing, and have parents who own businesses can increase the probability of success.

The study provides a list of critical success factors contributing to the growth of small business in Nigeria, the largest economy in Africa. The findings can help entrepreneurs avoid failure and advance UN SDGs 1, 2, 8 and 10. Implications for current and future entrepreneurs, public agencies, consultants, educators, policymakers, suppliers and investors are discussed.

This is the first study to determine the factors that contribute to the success or failure of small businesses in Nigeria using the Lussier model. It also discusses how to advance four of the UN sustainability goals. Results support the Lussier model's global validity that can be used in both emerging and developed markets, and it contributes to the development of theory.