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Reflect on the influence of different lifecycle stages on the strategy of a family business; evaluate the impact of family, industry and company dynamics on the evolution of a family firm; assess the impact of ownership, governance and succession considerations on the sustainability of a family firm; and develop decision-making skills to overcome specific dilemmas and secure the family business longevity.

Five industries, three generations and one family business. What started off as an entrepreneur’s ambition, Almajid Limited has proven itself to a sustainable source of revenue and a diverse portfolio of businesses for multiple generations of a Saudi Arabian family. This case study offers an exclusive opportunity to follow the tumultuous journey of a Saudi family business and analyze the different phases of its evolution over seven decades and three generations. In particular, the case aims to highlight the complexities surrounding the management of a family firm and illustrate how various lifecycle stages stemming from a number of areas (e.g. family, company, industry, ownership and governance) simultaneously influence the family business strategy. Being deeply embedded in the context of Saudi Arabia, the case unveils the unique challenges of managing a family business in a conservative cultural setting. The case study is divided into four parts, with each of them putting the emphasis on a different lifecycle area of significance for the evolution of the family business. Each part culminates with the identification of an area-relevant dilemma that needs to be addressed for the family firm to be able to move into the next stage of its development. Part A focuses on the family area or axis, the Part B on the industry axis, Part C on the company axis, while Part D is based on the sustainability axis, which embraces as many as three dilemmas in relation to the ownership, governance and succession in the family firm. Moreover, each part incorporates a timeline of critical events that contributed to the emergence of a specific dilemma and a culturally-rooted anime that helps the readers visualize the story, picture somebody else’s reality, and empathize with the key protagonists of the case to achieve optimal decision-making.

Graduate audience: Master of Business Administration or Master of Global Entrepreneurial Management.

Teaching Notes are available for educators only.

CSS 11: Strategy.

Nurses are at the front line in facing the COVID-19 outbreak and are at increased risk of becoming infected and might be the source of transmission in health-care facilities and the community. The purpose of this study is to assess the knowledge and attitude toward COVID1-19 among nurses in acute care settings in Jordan. This is expected to help with the global initiative to combat the COVID-19 epidemic.

A cross-sectional design was used to survey nurses' knowledge and attitude of COVID-19 among Jordanian nurses working in acute care settings.

The grand mean of knowledge items response was 8.94, implying that respondents possessed a high level of knowledge. The overall attitude score was positive for the participants, with a mean score of 5.93. Moreover, the results showed a significant relationship between knowledge and attitude scores.

The findings suggest that nurses in Jordan showed a high level of knowledge and a positive attitude toward COVID-19 during the outbreak's rapid rise period. This study showed specific aspects of knowledge and attitudes that should be focused on in future awareness and educational programs to promote all preventive and safety measures of COVID-19.

Cash waqf is a powerful financial instrument that deals with the issue of liquidity constraints in waqf institutions. While there are several models of cash waqf operating in different countries, there is increasing demand for innovative cash waqf models, especially within the financial technology context. This paper aims to propose a practical alternative model of funding for waqf institutions using the concepts of crowdfunding and cash waqf.

This study evaluated the literature relevant to cash waqf models that have been implemented in different countries and proposed a new viable alternative model.

Results offer an alternative financing model, named crowdfunding cash waqf model, for waqf institutions to overcome monetary constraints and enable development projects to be completed.

The current study has important implications for both officials and relevant stakeholders. It is sought to bring better consistency between cash waqf donors, solving the liquidity problem faced by waqf institutions, enhancing the transparency of waqf institutions and their use of waqf funds, wealth circulation and financing businesses without interest-based loans (riba). By incorporating a crowdfunding and investment mechanism in the model, this method of collecting funds will assist governments in reducing their expenditure on waqf institutions and other social development programmes.

The proposed model differs from current methods of generating cash waqf, including those are also internet-based. The proposed model is devised to help waqf institutions achieve financial sustainability by including an investment mechanism in the model to sustain the development of waqf projects.

In a globalized environment, small and medium enterprises (SMEs) are facing formidable challenges. Not only do they have to keep up their profitability, but there is also a pressure from various stakeholders to add to their environmental and quality performance .The solution obviously lies in continuously adopting and improving upon lean-green practices in their operations. This work aims at identifying, classifying and building up a duly tested robust ranked-order model of such “enablers”, related to lean-green practices, that puts them (the enablers) in an order of being the most significant to being the least significant further to be accorded the same or similar weight in strategy formulation and implementation stage by Indian SMEs for enhancing their overall organizational performance.

The study identifies 20 enablers (12 lean and 08 green manufacturing enablers) through extensive literature review and experts' opinion survey and classifies them into three main categories. The ranking and significance of each of the main and subcategory enablers is evaluated according to its weight which is determined by the best-worst method (BWM) approach, one of the novel multi-criteria decision-making (MCDM) methods. Further, the results have been drawn after running accuracy check of the rankings (based upon optimal weights) and testing the robustness of the ranked-order model through sensitivity analysis.

The results of this study reveal that out of the three main category enablers, “operational performance enablers (E1)” and “quality performance enablers (E3)” are the most and the least significant enablers, while in the group of 20 subcategory enablers, “Kaizen (E17)” and “environment emission control (E28)” are the most and the least significant subcategory enablers, respectively.

The prioritization model or ranked-order model of the lean-green manufacturing enablers proposed through this study may serve as a standard model to managers to help them decide and allocate their efforts and resources accordingly in managing their operations. This will also help them adopt high-ranking lean-green manufacturing enablers in their firms and benchmark and standardize their existing practices accordingly, leading to greater competitive advantage.

The study identifies various green-lean manufacturing enablers in SMEs, classifies them into three main categories and ranks them using BWM approach. The findings of this study should be extremely relevant to managers, manufacturing engineers and practitioners in Indian SMEs from the perspective of developing deeper appreciation of these enablers as per their relative ranked importance to further formulating an effective and efficient strategy for their implementation resulting in optimal results.

This study aims to examine the effect of entrepreneurial orientation (EO) on the export performance of apparel small- and medium-sized enterprises (SMEs) and the role of multiple differentiation strategy as a mediation effect between their relationships. It has also investigated the moderation impact of export market category between EO and performance relationship. The multiple differentiation strategy comprises the product (PDD), customer (CTD), service (SVD) and brand (BDD) differentiations.

A cross-sectional survey was carried out by providing a questionnaire to senior managers and owners of the apparel SMEs from the developed and developing markets exporters. The primary data of 550 was treated by the partial least squares-structural equation modelling) technique for final analysis.

The study revealed EO’s positive and significant effect on SMEs’ export performance. The study has found the mediation effect of product, customer and brand differentiation strategies between EO and export performance relationships from the mediation analysis. In contrast, service differentiation has found no mediation effect. However, the moderation effect (export market category) has revealed an insignificant effect between EO and performance association.

The findings of this study are based on one country data analysis. This study has been conducted in the SMEs of the apparel industry in Bangladesh, considering only owners and senior-level managers of the firms.

This research has drawn the attention of managers/owners to EO and multiple differentiation strategies enhancing export performance from the developing country context, such as Bangladesh. Multiple differentiation as a competitive strategy is the pioneer application of mediating effect between EO and export performance relationships. Moreover, this research has investigated the effect of the export market category as a moderator. Dearth research has applied the export market category to investigate the moderation effect between EO-performance models. Therefore, current research has theoretical and practical contributions to the international entrepreneurship and strategic management literature.

The purpose of this paper is to investigate a benchmarking project carried out by the Dubai Electricity and Water Authority (DEWA) as part of a structured benchmarking initiative. The project was based on the TRADE benchmarking methodology and this paper examines the tools, activities and outcomes that relate to each stage of the adopted methodology.

This study is based on case study methodology. Data were collected from various sources including analysis of project reports written by DEWA’s benchmarking team reporting on their activities during the project. Data were also collected from four project presentations given at different stages of the project. In addition, the research team held three meetings with the DEWA benchmarking team at different stages of the benchmarking project.

The results show the key challenges and successes faced during each stage of the benchmarking project. It indicates the actions taken to overcome the challenges and the role played by internal and external stakeholders in facilitating the success of the benchmarking project.

The study presents information that would guide organisations that wish to carry out a benchmarking project – and particularly those implementing benchmarking for the first time. The study provides a summary of the key lessons learnt by DEWA’s benchmarking team as a guide for other organisations.

Academic research has not adequately examined and analysed the stage-by-stage elements of a benchmarking project from the perspective of the implementing organisation. This study addresses this gap by detailing and analysing the experiences of a benchmarking project by tracking the stage-by-stage activities of the benchmarking team.

This paper aims to investigate the mechanisms for managing coordinated benchmarking projects and the outcomes achieved from such coordination. While there have been many independent benchmarking studies comparing the practices and performance of public sector organisations, there has been little research on initiatives that involve coordinating multiple benchmarking projects within public sector organisations or report on the practices implemented and results from benchmarking projects. This research will be of interest to centralised authorities wishing to encourage and assist multiple organisations in undertaking benchmarking projects.

The study adopts a case study methodology. Data were collected on the coordinating mechanisms and the experiences of the individual organisations over a one-year period.

The findings show successful results (financial and non-financial) across all 13 benchmarking projects, thus indicating the success of a coordinated approach to managing multiple projects. The study concluded by recommending a six-stage process for coordinating multiple benchmarking projects.

This research gives new insights into the application and benefits from benchmarking because of the open access the research team had to the “Dubai We Learn” initiative. To the authors’ knowledge the research was unique in being able to report accurately on the outcome of 13 benchmarking projects with all projects using the TRADE benchmarking methodology.

Dynamic predictions of financial distress of the firms have received less attention in finance literature rather than static prediction, specifically in Malaysia. This study, therefore, investigates dynamic symptoms of the financial distress event a few years before it happened to the firms by using neural network method. Cox Proportional Hazard regression models are used to estimate the survival probabilities of Malaysian PN17 and GN3 listed firms. Forecast accuracy is evaluated using receiver operating characteristics curve. From the findings, it shown that the independent directors’ ownership has negative association with the financial distress likelihood. In addition, this study modeled a mix of corporate financial distress predictors for Malaysian firms. The combination of financial and non-financial ratios which pressure-sensitive institutional ownership, independent director ownership, and Earnings Before Interest and Taxes to Total Asset shown a negative relationship with financial distress likelihood specifically one year before the firms being listed in PN 17 and GN 3 status. However, Retained Earnings to Total Asset, Interest Coverage, and Market Value of Debt have positive relationship with firm financial distress likelihood. These research findings also contribute to the policy implications to the Securities Commission and specifically to Bursa Malaysia. Furthermore, one of the initial goals in introducing the PN17 and GN3 status is to alleviate the information asymmetry between distressed firms, the regulators, and investors. Therefore, the regulator would be able to monitor effectively distressed firms, and investors can protect from imprudent investment.

This chapter focuses on testing optimal capital structure theory: The role of intervening variable debt to equity ratio (DER) on the influence of the financial performance, Ownership Structure of Independent Board of Commissioners (IBCO), Audit Committee (ACO), and Institutional Ownership on Firm Value. The research design was explanatory research using path analysis. Using purposive sampling, 61 manufacturing companies, observation period from 2014 to 2018 with 286 N samples. The research novelty empirically can prove the role of intervening variable DER on the effect of return on assets (ROA) on firm value and shows the market response to the ROA is fully reflected by DER, indicating the existence of an optimal capital structure. The role of DER on the effect of ROE and IBCO on firm value is a partial mediation with the inverse direction. This phenomenon shows that the mechanism of forming a balance between the responses of investors and creditors relates to debt financing.

Internet of Things (IoT) is a network, which provides the connection with various physical objects such as smart machines, smart home appliance and so on. The physical objects are allocated with a unique internet address, namely, Internet Protocol, which is used to perform the data broadcasting with the external objects using the internet. The sudden increment in the number of attacks generated by intruders, causes security-related problems in IoT devices while performing the communication. The main purpose of this paper is to develop an effective attack detection to enhance the robustness against the attackers in IoT.

In this research, the lasso regression algorithm is proposed along with ensemble classifier for identifying the IoT attacks. The lasso algorithm is used for the process of feature selection that modeled fewer parameters for the sparse models. The type of regression is analyzed for showing higher levels when certain parts of model selection is needed for parameter elimination. The lasso regression obtains the subset for predictors to lower the prediction error with respect to the quantitative response variable. The lasso does not impose a constraint for modeling the parameters caused the coefficients with some variables shrink as zero. The selected features are classified by using an ensemble classifier, that is important for linear and nonlinear types of data in the dataset, and the models are combined for handling these data types.

The lasso regression with ensemble classifier–based attack classification comprises distributed denial-of-service and Mirai botnet attacks which achieved an improved accuracy of 99.981% than the conventional deep neural network (DNN) methods.

Here, an efficient lasso regression algorithm is developed for extracting the features to perform the network anomaly detection using ensemble classifier.