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This study aims to investigate the effects of organizational culture factors on the selection of software process development models and develops a conceptual model for selecting and adopting process development models with an organizational culture approach, using 12 criteria and their sub-criteria defined in Fey and Denison’s model (12 criteria).

The research hypotheses were investigated using statistical analysis, and then the criteria and sub-criteria were selected based on Fey and Denison’s model and the experts’ viewpoints. Afterward, the organizational culture of the selected company was measured using the data from 2016 and 2017, based on Fey and Denison’s questionnaire. Due to the correlation between the criteria, using the decision-making trial and evaluation technique, the correlation between sub-criteria were determined, and by analytical network process method and using Super-Decision software, the process development model was preferred to the 12 common models in information systems development.

Results indicated a significant and positive effect of organizational culture factors (except the core values factor) on the selection of development models. Also, by changing the value of organizational culture, the selected process development model changed either. Sensitivity analysis performed on the sub-criteria implied that by changing and improving some sub-criteria, the organization will be ready and willing to use the agile or risk-based models such as spiral and win-win models. Concerning units where the mentioned indicators were at moderate and low limits, models such as waterfall, V-shaped and incremental worked more appropriately.

While many studies were performed in comparing development models and investigating their strengths and weaknesses, and the impact of organizational culture on the success of information technology projects, literature indicated that the impact of organizational sub-culture prevailing in the selection of development process models has not been investigated. In this study, new factors and indicators were addressed affecting the selection of development models with a focus on organizational culture. Correlation among the factors and indicators was also investigated and, finally, a conceptual model was proposed for proper adoption of the models and methodologies of system development.

This paper aims to explore the impact of the joint operation of affordability policies and whether their impact is meaningful relative to the size of the affordability crisis. Its purpose is to construct the features of a comprehensive policy package linked to a measurable outcome: solving the affordability crisis in Auckland. This study investigates the scale and nature of an affordability package that responds to three research and policy questions: What should the rate of annual growth of affordable housing be to solve the affordability crisis? Consequently, how long would it take to solve it? And how much would that policy package cost?

In this paper, the authors argue that the disjoint operation of affordability policies is one of the reasons why their impacts relative to the size of the affordability crisis has been small or negligible. Furthermore, this study demonstrates that affordability is as much about raising households’ incomes as it is about lowering housing prices. This study uses a modelling-based framework to simulate some of the levers that local and central governments have to affect housing prices and affordability: direct intervention on the supply-side and subsidies. Specifically, this simulates retention-and-targeting (RT) programs and subsidies to raise deposits via shared ownership (SO) schemes.

This study finds that solving the affordability crisis would take a decade if the supply of affordable housing increases by at least 45% annually. With the introduction of RT and SO programs, it could still be solved within a decade, where the required growth rate decreases to 35%. However, for growth rates between 5% and 10%, the policy goal is met in approximately 40 years, and the SO program becomes exceedingly expensive.

Housing affordability is one of the hottest policy issues in New Zealand and the developed world. In the past decade, a number of affordability policies have been introduced with limited success due to their lack of interoperability and siloed efforts. Results in this paper should be interpreted as the boundaries of what is feasible and realistic in the realm of affordability policies. Therefore, its contribution relies on investigating the multiple effects if the financial, administrative and political barriers to RT and SO programs could be overcome. Its scope is a blueprint for the design of policies in other cities where unaffordability has become extreme.

In this study, leadership, social and technical system and organizational behavior theories were used to test the research model, consisting of six variables. The purpose of this study was to observe the impact of leadership styles (i.e. transformational leadership and empowering leadership) on organizational performance and innovation. In addition, the mediating role of shared leadership and mediating role of organizational culture in the model were measured.

This study relied on a quantitative design, specifically, a questionnaire, to obtain data from 301 employees in the health sector (three public-sector hospitals in the Basra Governorate).

Data analysis results showed that most of the relationships in the research model were positive. In addition, the results demonstrated the importance of the mediating variable in strengthening the relationship between the independent and dependent variables. The results of this study also clearly depicted the role of the mediating variable. Theoretical and practical implications were discussed, and proposals for future studies were presented.

This research focused on the use of modern leadership styles, collected data on such styles and included them in one model to enhance organizational output. This study was conducted in the context of the Iraqi health sector and can be distinguished from other studies by its adoption of a large sample to obtain clear and important results, thereby making it an important reference for researchers to improve organizational performance.

Founded in 2004, OPPO has experienced the boom of the Chinese mobile phone market, the trend of mobile Internet and the prosperity of the smartphone market. While adjusting its business structure based on changes in the market environment, it has transitioned itself from an audio device manufacturer to a smart-phone manufacturer that offers hardware, software, and service.

This case study focuses on OPPO's evolution and strategy, and provides an insight into its history, competition, and strategic choices based on whether or not OPPO should release a feature phone with a foldable display at the MWC 2019, and discusses the core competitiveness that helped OPPO succeed against the market downturn. This case study helps students understand the development of corporate strategies and the process of building core competitiveness in the microcompetition in the red ocean market. We also wish to help students understand how to come up with the most appropriate decision-making framework and conduct a critical analysis on the issues based on the internal and external factors of their businesses while they make strategic decisions. When it comes to different dimensions and indicators coming to contradictory conclusions in particular, what should the manager of a business do to make the correct strategic decision?

Front-line lean leadership is critical for implementing and sustaining lean production systems (LPS). The purpose of this paper is to analyze the relationships between front-line lean leader (FLL) capacities (cognitive, social, motivational, knowledge and experience), lean leader practices (developing people and supporting daily kaizen) and the degree of implementation of lean tools (pull system, involvement of employees and process control) in manufacturing companies.

A survey was conducted with FLLs from large Brazilian manufacturing companies. The survey collected 103 responses, 99 of which were validated. Data were analyzed using partial least squares structural equation modeling.

There was a positive, significant and direct relationship between FLL capacities, leadership practices and a degree of implementation of LPS tools on the shop floor. The validated model is a reference base for planning FLL capacities and practices that result in more effectively implementing LPS on the shop floor.

The findings provide managers with a new perspective on the importance of the development and training of FLLs focusing on leadership capacities. As decisions about developing lean capabilities impact the application of Lean leadership practices and the use of lean tools, they are also related to day-to-day lean activities and improved operational results. Additionally, the proposed model can be used by managers as a basis to diagnose, develop and select lean leaders.

This study seeks to fill a theoretical gap of knowledge on front-line lean leadership as it jointly addresses and empirically analyzes the existing relationships between lean leadership capacities, encompassing the perspective of psychology, lean practices and tools on the shop floor.

This chapter aims to discuss the challenges facing these countries building productive capacity for development. This chapter makes use of data published by international organizations as indicators for measuring the state of development in the Arab region. Several indicators are presented to compare Arab countries with other world regions. The use of data identifies some of the gaps that countries in the Arab region need to close to strengthen capacity building for development and fostering economic growth. The findings from the data presented reveal that the productive structure in most Arab countries remains weak to generate production linkages and provide incentives for investment in nonenergy sectors. The failure of the export-led growth model to diversify output and promote development in energy producing countries has increased the dependence of these countries on global trade. Fluctuations in commodity prices and uncertainty about global demand for energy have influenced the ability of the state to construct strategies for rapid transformation. Except for the energy sector, the productivity of nonoil sectors remains low reflecting inadequate incentives and ineffective entrepreneurial capabilities. The study examines the challenges for building productive capacity in the Arab world. It illustrates the failure of the led-export model and its inability to prompted economic diversification, especially in the Gulf countries. The study contributes to the literature on capacity building in the Arab world so that to encourage researchers and students of development conducting studies concerning the main development challenges facing these countries.

Customised capacity building is thought to be essential for organisations. However, empirical studies are lacking with respect to its effect on employee outcomes. This study aims to examine the effect of customised capacity building on employee outcomes including employee empowerment and employee engagement through employee learning in Ghanaian local government institutions.

Valid responses from 281 employees of Metropolitan, Municipal, and District Assemblies (MMDAs) in Ghana were collected through a survey. A structural equation model was used to analyse the data and test the hypotheses formulated.

The results showed that customised capacity building has an effect on employee learning, employee empowerment, and employee engagement. Employee learning also had an effect on employee empowerment and employee engagement. In addition, employee learning partially mediated the effect of customised capacity building on both employee empowerment and employee engagement.

This study is of particular relevance to public organisations. As there is a dearth of studies focusing on customised capacity building, this study provides insight into incorporating the phenomenon into public sector organisations to enhance employee learning, empowerment and engagement.

This study aims to investigate the feasibility of employing a multi-objectives integer-programming model for effective allocation of resources for cyberfraud mitigation. The formulated objectives are the minimisation of the total allocation cost of the anti-fraud capacities and the maximisation of the forensic accounting capacities in all cyberfraud incident prone spots.

From the literature survey conducted and primary qualitative data gathered from the 17 licenced banks in South Africa on fraud investigators, the suggested fraud investigators are the organisation’s finance department, the internal audit committee, the external risk manager, accountants and forensic accountants. These five human resource capacities were considered for the formulation of the multi-objectives integer programming (MOIP) model. The MOIP model is employed for the optimisation of the employed capacities for cyberfraud mitigation to ensure the effective allocation and utilisation of human resources. Thus, the MOIP model is validated by a genetic algorithm (GA) solver to obtain the Pareto-optimum solution without the violation of the identified constraints.

The formulated objective functions are optimised simultaneously. The Pareto front for the two objectives of the MOIP model comprises the set of optimal solutions, which are not dominated by any other feasible solution. These are the feasible choices, which indicate the suitability of the MOIP to achieve the set objectives.

The results obtained indicate the feasibility of simultaneously achieving the minimisation of the total allocation cost of the anti-fraud capacities, or the maximisation of the forensic accounting capacities in all cyberfraud incident prone spots – or the trade-off between them, if they cannot be reached simultaneously. This study recommends the use of an iterative MOIP framework for decision-makers which may aid decision-making with respect to the allocation and utilisation of human resources.

The originality of this work lies in the development of multi-objectives integer-programming model for effective allocation of resources for cyberfraud mitigation.

This study aims to identify the critical factors contributing to India-based non-governmental organizations (NGOs) capacity building and value creation for beneficiaries.

A total interpretive structural modeling technique has been used to develop a hierarchical model of critical factors and understand their direct and indirect interrelationships. The driving force and dependence force of these factors were determined by using cross-impact matrix multiplication applied to classification analysis.

This study identifies 12 critical factors influencing NGO capacity building in India’s intellectual disability sector across four dimensions. Internal organizational capabilities include infrastructure, staff qualifications, fundraising, vocational activities and technical resources. Second, coordination and stakeholder engagement highlight government and agency collaboration, dedicated board members and stakeholder involvement. Third, adaptability and responsiveness emphasize adjusting to external trends and seizing opportunities. Finally, impact and value creation emphasis on improving value for persons with disabilities (PWDs).

The findings of this study have practical implications for Indian NGOs working for PWDs. The study provides NGOs with a structural model for improving organizational capacity by identifying and categorizing critical factors into the strategic model.

There is a scarcity of literature on capacity building for disability-focused NGOs in India. This study seeks to identify critical factors and develop a hierarchical model of those factors to assist policymakers in India in building the capacity of NGOs.

Being resilient is often equated with the capability to return to a state of normalcy after individuals and organisations face unprecedented challenges. This chapter questions the notion of ‘normalcy’ in complex and ongoing turbulence as experienced variously in diverse cultural and sectoral contexts. In theorising organisational resilience and associated transformation, it draws on insights provided by a microfinance institution (MFI) operating in the Philippines. The chapter details its efforts to transform business in light of experience gained in frequent and overlapping emergency conditions (including COVID-19) to create a new level of resilience in its clients and itself. For clients, the goal is often to self-manage loss associated with socio-economic development and for the organisation, to stabilise and cordon the investment needed to support clients survive and move on from the relatively constant adverse impacts of disasters. Published accounts of such experience and insights provided by board members and the President illustrate the nature of transformational resiliency strategies planned, including changes to the business model around provision of micro-insurance services and strategic adaptation of digital services aligned with the organisation's mission. A model of ‘practical resiliency in emergency conditions’ details the culture of resiliency adopted, demonstrating how stakeholders gain confidence and opportunity to practice resilient behaviours in emergency contexts. It highlights the significance of cultural consistency across purpose, values and capability to create an adequate level of trust and certainty across stakeholders to support transformational resiliency behaviours in shifting and dynamic ecosystems.