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This paper aims to investigate the effect of decision-making, in terms of the effectuation and causation orientation of small business owners, on the growth of their small businesses in an uncertain environment: Burundi.

On the basis of primary data from a pre-study of 29 expert interviews, a questionnaire was developed and was filled in by 154 small business owners in Burundi’s capital, Bujumbura. Subsequently, correlation analyses, a factor analysis and regression analyses were performed to test the hypotheses.

While, on the one hand, the findings show that small business owners who perceive the environment as uncertain are more effectuation-oriented than causation-oriented; on the other hand, the findings show that effectuation and causation orientations do not influence later small business growth. Therefore, other determinants for small business growth in an uncertain environment should be further explored.

This paper fills the research gap of decision-making in relation to small business growth from the entrepreneurs who are among the billion people who live in absolute poverty. On the basis of Western studies, effectuation might be more present in contexts of dealing with many uncertainties of future phenomena, and that it is often positively correlated with firm growth. In contrast, this paper shows that neither an effectuation orientation nor a causation orientation significantly affects small business growth in a context that can be assumed as highly uncertain.

Cross‐selling is an important issue for contemporary marketing practice, as this facilitates offering the right product to the right customer. Relevant for cross‐selling of financial products is the order in which consumers acquire such products. Previous research shows that most consumers acquire financial products used for asset accumulation purposes in similar orders. However, the literature does not report studies on acquisition patterns of products for facilitating financial transactions (e.g. chequebooks, credit cards). In this paper we propose a consumer need hierarchy, influencing consumer acquisitions of transactional products. Consecutively Mokken scale analysis is applied to investigate acquisition patterns of six transactional products in 17 European countries. The final section of the paper presents a discussion on the relevance of our results in terms of marketing purposes, emphasising cross‐selling applications.

The purpose of this study is to investigate the relationship between entrepreneurial motivation and small business growth in one of the poorest emerging countries: the African least developed country (LDC), Rwanda.

On the basis of theoretical resources and a pre-study of interviews with local experts in Rwanda, the authors developed a survey for this study. Based on primary data from 133 Rwandan small business owners, the authors conducted an exploratory factorial analysis to uncover the underlying factors. Subsequently, the authors conducted regression analyses to test the hypotheses.

The analyses show that the predictors for the growth of small businesses can be divided into three factors: one factor with a mix of motivations related to family background, necessity and opportunity motivations; one factor with items predominantly related to opportunity motivation; and one factor with items related to necessity motivation. The first factor has the strongest positive effect on small business growth followed by the second factor. The factor concerning necessity motivation was irrelevant for further inclusion in the regression model, due to insufficient reliability.

The study contributes to the debate in the literature about which entrepreneurial motivations affect the growth of small businesses in LDCs.

The results reported in this study also have implications for how small business growth in LDCs can be supported and stimulated by policy-making practice.

This study shows that entrepreneurial motivation is not a clear distinction between necessity and opportunity, but that a mix of motivations is important to assess the growth of small businesses in an LDC, which is an understudied context.

The chapter seeks to reflect on the dynamics of the reconstruction of family farming and peasant agriculture in agrarian reform settlements (“assentamentos”) in Brazil, exploring the limits and potential of government food purchases from family farming, particularly the Food Acquisition Program (Programa de Aquisição de Alimentos – PAA), in the creation of alternative paths of rural development. The work analyzes the different strategies through which farmers and their organizations mobilize public policy instruments and market connections, expanding their room for maneuver and agency capacity. Research was conducted in the Baixo Sul Territory of the state of Bahia, focusing the heterogeneous web of social organizations involved in the implementation of the Food Acquisition Program in this setting.

Findings of an extensive archival study of Pan American Airways (PAA) strongly support Acker’s (1990) notion of the presence and importance of a dominant discourse of organizing logic in structuring a gendered order. Findings also demonstrate that the presence of alternative, but not necessarily feminist, discourses can serve to upset the gender order of organizations. Thus, we conclude that changing the organization’s gender substructure (Acker, 1992b) by changing the dominant discourse or introducing competing discourses may help to destabilize “truths” and interrupt the perpetuation and reification of policies, practices, and understandings that are often taken-for-granted despite their ability to silence voices and privilege some groups over others.

Price reliability for complex and highly complicated infrastructure projects is problematic. Traditional project delivery approaches generally fail in achieving targeted end cost reliability. However, integrated project delivery (and particularly Alliancing), develop a far more reliable and robust project delivery plan and outturn time-cost targets. This paper aims to explore why this may be the case.

This case study investigated the project design, planning, cost/time estimation approach and how risk/uncertainty was dealt with. Five senior project delivery experts from an organisation that delivers multi-billion-dollar infrastructure projects in Australia were interviewed. These five experts collectively had 100+ cross-disciplinary experience years delivering complex infrastructure projects.

Alliancing adopts a radically different approach to project design, time/cost planning and risk assessment and management to traditional project delivery approaches. Key findings explain how the project alliance agreement designs-in processes that maximises team integration and collaboration. Analysis concludes that design thinking is used to craft and shape collaborative behaviours and project governance. Additionally, including project owner and facilities operator representatives in the project team adds valuable insights, expertise and knowledge contributing to planning reliability.

This study is exploratory and focussed on complex infrastructure projects so findings cannot be generalised.

We unpack Alliancing processes that develop the target outturn cost plan, comprising a holistic and realistic plan to design a project to meet expected project outcomes. This case study may serve as an exemplar for complex project delivery.

This paper illustrates how Alliancing more effectively delivers best value than traditional procurement approaches through its TOC-TAE processes.

The paper contributes to the scant existing academic literature analysing these processes. Its novel contribution is explaining how Alliancing treats unexpected events that in traditional delivery forms trigger expensive and time-energy-wasting disputation. This case study may serve as an exemplar for complex project delivery.

The purpose of this article is to provide an overview of current uses of cloud computing (CC) services in libraries, address a gap identified in integrating cloud storage in IaaS level, and show how to use EC2 tools for easy backup and resource monitoring.

The article begins a literature review of CC uses in libraries, organized at the SaaS, PaaS and IaaS levels. The author presents his experience of integrating cloud storage services S3 and GCS. In addition, he also shows how to use virtual machine EC2 tools for backup and monitoring resources.

The article describes a case study of integrating cloud storage using S3 and GCS. S3 can be integrated with any program whether the program runs on cloud or locally, while GCS is only good for applications running on GAE. The limitation of the current GCS approach makes it hard to use for a stand‐alone cloud storage. The author also discusses virtual machines using EC2 and its related tools for backup, increase storage, and monitoring service. These services make system administration easier as compared to the traditional approach.

The article presents current CC uses in libraries at the SaaS, PaaS, and IaaS levels. CC services are changing quickly. For example, Google has stated that its APIs are experimental. Readers should be aware of this.

The author shows his experience of integrating cloud storage services. Readers can understand the similarities and differences between S3 and GCS. In addition, readers can learn the advantages and concerns associated with implementing cloud computing. Readers are encouraged to consider questions such as content, skills, costs, and security.

There are many uses of CC services in libraries. However, gaps are identified: in IaaS cloud storage, a few libraries used Amazon S3 and Microsoft Azure, but none explored using Google Cloud Storage (GCS); none provided implementation details, difficulties, and comparisons of S3 and GCS; and a few articles have briefly discussed implementations on Amazon EC2, but have not provided specific details about upgrade and backup. This article addresses those gaps.

Artificial intelligence (AI) is deemed to have a significant impact as a value driver for the firms and help them get an operational and competitive advantage. However, there exists a lack of understanding of how to appropriate value from this nascent technology. This paper aims to discuss the approaches toward knowledge and innovation strategies to fill this gap.

The discussion presents a review of the extant strategy and information systems literature to develop a strategy for organizational learning and value appropriation strategy for AI. A roadmap is drawn from ambidexterity and organizational learning theories.

This study builds the link between learning and ambidexterity to propose paths for exploration and exploitation of AI. The study presents an ambidextrous approach toward innovation concerning AI and highlights the importance of developing as well as reusing the resources.

This study integrates over three decades of strategy and information systems literature to answer questions about value creation from AI. The study extends the ambidexterity literature with contemporary.

This study could help practitioners in making sense of AI and making use of AI. The roadmap could be used as a guide for the strategy development process.

This study analyzes a time-tested theoretical framework and integrates it with futuristic technology in a way that could reduce the gap between intent and action. It aims to simplify the organizational learning and competency development for an uncertain, confusing and new technology.

Previous research has not demonstrated a consistent relationship between pre-employment measures of good impression (GI) response bias and subsequent job performance. The purpose of this paper is to study the likelihood that such effects would be present for the extremes of the GI dimension, noting that opposite predictions about these effects would be made from the two competing conceptions of GI: motivational and positive self-presentation.

Three groups were studied in which the job performance was investigated for high and low pre-employment GI scorers ( > 1 and < −1 SD) and also for extreme high and low SD scorers (approximately the highest and lowest 5 percent). Participants included two groups of nurses and one of chain store managers.

The low GI groups showed consistently poorer-than-average job performance, and the highest GI scorers showed a trend toward better performance. The extreme highest and lowest groups showed greater differences than the high and low groups.

This study demonstrates that extreme pre-employment GI scores are relevant to performance, and support the self-presentation rather than the motivational conception of GI, at least for these employment groups. Attention is drawn to the practical relevance of low GI scores in predicting poorer work performance.