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Microenterprises in emerging economies are known to operate in turbulent and resource-scarce environments. We test our hypothesis that a more comprehensive “Integrated Capital-Based Model” (ICBM) is needed when explaining the performance of microenterprises in such an environment. The model combines traditionally researched financial, human and social capital with more recently emphasized psychological and cognitive capital, providing greater explanatory power than models using only the traditional types of capital.

We use a pooled linear regression to analyze an existing survey of more than 900 independent business owners who were interviewed seven times between 2008 and 2012 in the Accra and Tema marketplaces in Ghana. We measure the performance of microenterprises using three dependent variables (revenue, profits, and productivity). We contrast the explanatory power of ICBM models against the more traditional models.

The ICBM has significantly higher levels of explanatory power over the traditional models in examining the performance of these microenterprises. These results highlight the importance of psychological and cognitive capital in emerging economies.

We advocate for a more comprehensive view of capital as shown in our ICBM. However, the data were gathered only in an urban setting, which limits the generalizability to rural parts of emerging economies.

These findings suggest the utility of government and appropriate agencies finding ways to enhance the level of psychological and cognitive capital of microenterprise owners.

This paper's originality stems from hypothesizing and empirically confirming the higher predictive efficacy of ICBM against more traditionally researched capital sources.

The purpose of this study is to explore the motivations of governments for adopting unsolicited proposals for public–private partnership (PPP) project implementation.

A comprehensive review of literature was conducted to derive a list of motivations for adopting unsolicited PPPs. Subsequently, an empirical questionnaire survey was conducted with international PPP experts. Inter-rater agreement analysis, mean significance index and independent two-sample t-test were used for data analysis.

Results reveal four very critical motivations for governments’ interest in unsolicited PPPs; these include: “enhanced private sector innovation and creativity in PPPs”; “lack of public sector capacity to identify, prioritise and procure projects”; “lack of private investors’/developers’ interest in projects at remote areas”; and “rapid implementation of PPP projects”. Further analysis shows that developing and developed countries view the significance of three motivations differently.

The major limitation lies in the fact that this study only focused on the general motivations/rationale for using unsolicited PPP proposals and did not thoroughly examine and consider the inherent property of motivations (i.e. push and pull theories). Therefore, future studies should explore the “pull and push” motivations for adopting unsolicited PPPs within a specific country or region.

The research outputs inform international private developers of the key expectations of governments/public departments when submitting unsolicited PPP proposals for consideration by the public sector. Furthermore, the outputs will enable governments/public departments and private proponents to derive performance objectives and standards for unsolicited PPP projects.

The demand for retirement villages globally has been increasing due to the rapid growth in the ageing population in recent years. To address the rising challenges in the retirement market, the public–private partnership (PPP) has become a feasible method to develop retirement villages. This paper aims to survey and examine the key success criteria (SC) for using the PPP approach in the retirement village sector.

An empirical questionnaire survey was conducted with experts experienced in international PPP and retirement village. The analysis was conducted using one-way analysis of variance, mean score analysis, Kendall’s coefficient of concordance and factor analysis.

Results indicate that out of the 16 recognized SC, the most significant ones are SC1: “Affordability”, SC11: “Reduced social isolation of residents” and SC14: “Improvement of emotional wellbeing of residents”. Furthermore, results from the factor analysis technique indicate that the 16 SC can be classified into five major factor groupings, and these include SCG1 – “Financial performance of project”; SCG2 – “Adherence to design and technical specifications”; SCG3 – “Adherence to local council/authority’s environmental health and socio-economic requirements”; SCG4 – “Social inclusion and risk management”; and SCG5 – “Advancement in emotional wellbeing and physical health of residents”.

The study will sufficiently assist retirement village stakeholders, retirement village project participants and related government authorities of the best measures to put in place to maintain the sustainable development of the global retirement village market.

The purpose of this paper is to explore the current state of popular modern methods of construction (MMC) and pre-manufactured construction in the construction industry and propose a framework for future implications for practice and future research.

This technical paper is based on a narrative review of the extant literature on the subject. First, the Scopus search engine was used to retrieve relevant papers on MMC, offsite and pre-manufactured construction. Second, institutional literature such as reports by industry professional and trade bodies, literature from leading technology firms and contractors with experience of MMC were extracted. These two strands of literature were synthesised and a comprehensive discussion on the topic was provided.

Results show that journal publications on MMC and pre-manufactured construction have increased in the past decade. The paper found significant advances in the development of premanufactured and offsite construction approaches with many benefits. Offsite and pre-manufactured construction are viable and sustainable systems currently suitable for wider adoption as the mainstream construction method.

This technical paper based on an integrative review of relevant literature could have benefitted from interviews of professionals with experience of offsite and pre-manufacture techniques and from wider availability of current academic publications on the subject. Validation of the framework has not been undertaken.

Not much-published work has been undertaken on the current state of development globally and the viability of these construction approaches. This paper evaluates evidence from academic and industry sources to address this gap. A framework has been developed which can help the industry’s industrialisation drive.

The purpose of this paper is to present a heuristic model to better understand the inherently paradoxical and concomitant positive and negative organizational outcomes associated with demographic diversity and value congruence in organizations. It further illustrates the resultant organizational dynamics that result from shifting levels of diversity and value congruence.

This paper adopts the supply and demand heuristic from the economics discipline and further develops the diversity and similarity curves (DSC) model proposed by Ofori-Dankwa and Julian. Further, this analysis is carried out from both short-run (static) and long-run (dynamic) perspectives.

This study illustrates how different levels of organizational diversity and value congruence (reflected by diversity and similarity curves respectively) could concurrently result in both positive and negative levels of organizational creativity and competitiveness.

As a heuristic, this study's model is a simplistic representation of the inherently complex set of relationships and outcomes that are associated with paradox in a social setting.

This model has managerial utility for explaining how different levels of diversity in an organizational setting could potentially have different positive and negative outcomes.

This study unpacks the implications of different levels of diversity in an organizational setting and sheds original light on the dynamic nature of virtuous and vicious organizational cycles associated with diversity.

There is an established link between national cultural differences and documented variations in technological innovations across countries. To move beyond a narrow emphasis on national cultures, scholars have suggested using within‐country diversity to compensate for known limitations in national culture measures. Given that ethno‐linguistic diversity is a known source of cultural variation, this paper specifically aims to explore the relationship between culture, ethno‐linguistic diversity and national innovativeness.

The researchers used publicly available data on patents and trademarks in a multivariate regression context to study the effects of national culture and within‐country diversity on national levels of innovativeness.

The research found that culture and ethno‐linguistic diversity are independently positively associated with national innovation. More importantly, cultural and intra‐cultural variation measures when taken together account for significantly greater variance in levels of national innovation than does national culture when measured separately.

While this study points to the importance of ethno‐linguistic diversity in explaining national levels of innovativeness, there are other measures of within‐country diversity to be explored.

If national culture were the sole factor in innovativeness, then companies would be limited by their host cultural legacies; since within‐country diversity is also associated with innovation, it provides entrepreneurs, government policy makers and executives with important options for increasing innovativeness.

While previous studies pointed to the potential link between ethno‐linguistic diversity and innovation, prior research has generally not taken this variable into account.

The purpose of this paper is to explore the development of a set of critical success factors (CSFs) for Ghanaian contractors. The factors collectively define a set of best practices which Ghanaian contractors should focus on improving if they are to attain internationally competitive performance.

A systematic review of previous research, literature on existing programmes, models and frameworks commonly used for improving performance was undertaken to identify the most important success factors. The identified factors were scored and ranked with 16 of the most frequently occurring success factors selected. A questionnaire-based survey of Ghanaian contractors explored their perceptions of the most important success factors. Using factor analysis, the most important success factors were extracted.

Eight CSFs were identified for Ghanaian contractors. These were: quality and zero defects culture, organisational design, work culture and work environment, client satisfaction, strategy, leadership, measurement, analysis of information and knowledge management and implementation of lean principles.

The CSFs developed provides a ready set of criteria which can be used by contractors with little or no experience of benchmarking to compare their performance in best practices or to implement improvement programmes.

The first formal set of CSFs for Ghanaian contractors is presented. Not much research work has been done on organisational CSFs that are focused by this research.

The Truncated Levy Flight (TLF) model has been successfully used to model the return distribution of stock markets in developed economies and a few developing economies such as India. Our primary purpose is to use the TLF to model the S&P 500 and the firms operating in the Ghana Stock Exchange (GSE).

We assess the predictive efficacy of the TLF model by comparing a simulation of the Standard and Poor's 500 (S&P 500) index and that of firms in the stock market in Ghana, using data from the same time period (June 2007–September 2013).

We find that the Levy models relatively accurately models the return distributions of the S&P 500 but does not accurately model the return distributions of firms in the Ghana stock market.

A major limitation is that we examined stock market data only from Ghana, while there are over 29 other African stock markets. We suggest that doctoral students and faculty can compare these stock markets either on the basis of age or the number of firms listed. For example, the oldest stock market was set up in 1883 in Egypt, while the more recent ones were set up in 2012 in the Seychelles and in Somalia.

Scholarly inquiry about the stock markets in Africa represents a rich area of research that we will encourage doctoral students and faculty to go into.

There has been little research done regarding the TLF model and African stock markets and this research has much utility and high level of originality.