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Purpose: This chapter aims to enlighten the stakeholders on the role and contribution and the issues and challenges of large-scale industries in the wake of the globally unified economies.

Need for the study: Large-scale industries are one of the pillars of any nation and can exercise an immense impact on the numerous facets of the economy of any country. Their role and contribution can benefit all the stakeholders, especially in today’s integrated and interdependent world economies. Hence, there is an absolute need to highlight the issues and challenges and suggest measures to overcome them to promote a resilient global economy.

Methodology: The study gathered data from secondary sources like textbooks, articles, and the internet.

Findings: The findings of the study state that large-scale industries are enormous contributors to employment creation, development of the economy, growth of revenue, research and development (R&D) and innovation, export promotion, and infrastructure. The significant challenges include regulatory compliance, workforce management, economic volatility, political instability, supply chain management, environmental compliance, and technology and infrastructure.

Protectionism, deregulation, public–private partnership, privatisation, and environmental regulation are significant government decisions that affect large-scale industries. The study identifies tax incentives, easy access to financing, and domestic and international trade policies to safeguard large-scale industries’ interests.

Practical implications: Large-scale industries contribute towards the growth of global economic resilience in terms of employment generation, technological advancements, and innovation, fostering international trade in today’s interconnected world.

Enterprise resource planning (ERP) offers a streamlined system architecture to feed businesses with beneficial information in the current intense global competition. The primary concern of ERP is how to integrate different functional units to facilitate a unified flow of information. This paper aims at providing a non-trivial practice of integrating the quality control (QC) system into the core ERP processes of a real large-scaled case study.

To satisfy the purpose of the current study, a large-scale steel making holding, inclusive of 27 business units being dispersed over a wide area, has been targeted. In our research methodology, a sample of four business units is selected as the pilot cases to be investigated at first. The output results of such investigations are further extended to the other units. In light of the investigation, the existing QC working conditions of the pilot cases are assessed through the As-Is model. The To-Be models are derived based on the best practices and the integration scope is then bordered.

The findings show that the integrated QC solution has enabled the following features: the smooth interconnection between QC and other functional units like purchase and manufacturing, the ease of generating real-time performance report of QC unit, the sack of tracing the quality of any available item in the system and the root-cause of defects, and the straightforwardness of the qualitative assessment of the suppliers.

There is almost no similar practice for designing a large-sized integrated system from scratch in the target region associated with our case study while the off-the-shelf products are prohibitively expensive.

This paper includes implications for providing a standard practice on integrating a substantial module of ERP down to the smallest detail.

The value of the current paper is associated with fulfilling a critical research gap in the context of studying the QC integration into an enterprise solution. In fact, despite the importance of the QC module and its plethora of interconnection with other functional units, the literature review shows a centric lack of considering such integration in a real case study, particularly the large-scale one. Further, this paper works as a valuable study in the literature owing to not only focusing on the design and development of an integrated QC solution but also considering the deployment facet of such a practice.

The purpose of this paper is to identify the attributes that predict customer attrition behavior in the brokerage and investment banking sectors.

The authors analyze the complete stock trading records and customer profiles of 458,098 retail customers from a Korean brokerage house. The authors develop customer attrition prediction models and further explore the practicality of these models using statistical classification techniques.

The results from three different binary selection models indicate that customer transaction patterns effectively explain the attrition of active retail customers in subsequent periods. The study results demonstrate that monetary value variables are the most critical for predicting customer attrition in the securities industry.

This study contributes to the customer attrition literature by documenting the first large-scale field-based evidence that confirms the practicality of the canonical recency, frequency and monetary (RFM) framework in the investment banking and brokerage industry. The findings advance previous survey-based studies in the financial services industry by identifying the attributes that predict customer attrition behaviors in the securities industry.

The outcomes can be easily operationalized for attrition prediction by practitioners in financial service firms. Moreover, the ex post density of inactive customers in the top 10 percent most-likely-to-churn group is estimated to be five to six times the ex ante unconditional attrition ratio, which ascertains that the attributes recognized in this study work well for the purpose of target marketing.

While the securities industry is regarded as one of the most information-intensive industries, detailed empirical investigation into customer attrition in the field has lagged behind partly due to the lack of suitable securities transaction data and demographic information at the customer level. The current research fills this gap in the literature by taking advantage of a large-scale field data set and offers a starting point for more elaborate studies on the drivers of customer attrition in the financial services sector.

Currently, the bulk of research on marketing innovation focuses on various firm-level dimensions using relationships from the technological (product and process) innovation literature. Research on industry-level differences in marketing innovation is lacking. Testing relationships form the technological paradigm in the context of the marketing innovation paradigm is also lacking. This paper aims to present empirical evidence on both aspects using a large-scale data set.

This study uses two large-scale datasets, each consisting of approximately 4,000 Canadian enterprises in 18 industries. The data was collected by Statistics Canada in 2009 and 2012 through its nationwide Survey of Innovation and Business Strategies program. Two widely used theoretical frameworks, resource-based view of the firm and the competitive perspective, are used to generate constructs and hypotheses in relation to marketing innovation. The data was analyzed using multi-level logistic regression.

The findings show that industry-level competition is a much more important driver of marketing innovation than firm-level competition. The authors also show that marketing constructs that are significant in the context of technological innovation are also significant for marketing innovation.

This study extends the firm-level literature by providing evidence of how industry-level dynamics enhances marketing innovation. The study also provides empirical evidence from Canadian enterprises that complement those from other countries.

A deeper understanding of the drivers of marketing innovation can enable managers to enact innovation strategies that can enhance organizational performance, differentiate themselves and enhance customer engagement and brand image.

As one of the few studies to examine industry-level differences in marketing innovation, the authors show that disaggregating competition into industry-level and firm-level provides a clearer picture of how competition advances marketing innovation. Additionally, this study is the first of its kind to provide empirical evidence on Canadian enterprises, thereby complementing evidence on marketing innovation from other countries. Thus, this study makes a theoretical and empirical contribution to the emerging marketing innovation literature.

This study aims to empirically examine the relationships among perceived environmental uncertainty (EV), the level of knowledge distance (KD) and the impact of value network on firm performance.

The quantitative analysis is based on data from 243 Chinese companies with engineering, procurement and construction (EPC) business in the context of the COVID-19 pandemic.

The two dimensions of value network [network centrality (NC) and network openness (NO)] have a different impact on firm performance [financial performance (FP) and market performance (MP)]. NC has a positive impact on FP, but not on MP. NO has a positive effect on MP, but not on FP. A reduced KD mediates the relationship between value network and firm performance. Moreover, it fully mediates the relationship between NC and MP, NO and FP. Finally, during the COVID-19 pandemic, only EV has a moderating effect on KD and MP.

This study is limited in terms of data set because it relies on a limited amount of cross-sectional data from one specific country. Therefore, researchers are encouraged to test the proposed propositions further.

The present findings suggest that EPC professionals should pay more attention to the EV, which may be impacted by policy, technology and the economy. This research has actionable implications for the reform of EPC in the construction industry, and practical recommendations for EPC firms to improve their corporate performance.

The results measure the complementary effects of both dimensions of value network (NC and NO) on two distinct aspects of firm performance (MP and FP) and assess the moderating effect of EV and KD in the context of the COVID-19 pandemics.

In professional learning communities (PLCs), teachers collaborate and learn with the aim of improving students' learning. The aim of this study is to gain insight into teachers' perceptions of their schools' changing toward PLCs and conditions which support or hamper this change.

Questionnaires were completed by a total of 2.111 teachers from 15 Dutch secondary schools for three years. With the use of multilevel regression analyses, the research questions were answered.

Although the development of a school toward a PLC seems to be a slow process, the findings demonstrate the influence of school conditions on this development. Human resource management (HRM) stands out, as this school condition has a direct and longitudinal effect on the change.

The main recommendation is to embed PLC elements in HRM policies such as facilitating teachers to collaboratively work and learn and aligning teachers' professional development with schools' vision and ambitions.

PLCs have been studied occasionally in longitudinal in-depth case studies or in large-scale, cross-sectional research. This large-scale longitudinal study provides insights into the sustainability of schools as PLCs and the school conditions that are associated with sustainability.

This paper aims to examine the key challenges experienced and lessons learned when organizations undergo large-scale agile transformations and seeks to answer the question of how incumbent firms achieve agility at scale.

Building on a case study of a multinational corporation seeking to scale up agility, the authors combined 36 semistructured interviews with secondary data from the organization to analyze its transformation since the early planning period.

The results show how incumbent firms develop and successfully integrate agility-enhancing capabilities to sense, seize and transform in times of digital transformation and rapid change. The findings highlight how agility can be established initially at the divisional level, namely with a key accelerator in the form of a center of competence, and later prepared to be scaled up across the organization. Moreover, the authors abstract and organize the findings according to the dynamic capabilities framework and offer propositions of how companies can achieve organizational agility by scaling up agility from a divisional to an organizational level.

Along with in-depth insights into agile transformations, this article provides practitioners with guidance for developing agility-enhancing capabilities within incumbent organizations and creating, scaling and managing agility across them.

Examining the case of a multinational corporation's exceptional, pioneering effort to scale agility, this article addresses the strategic importance of agility and explains how organizational agility can serve incumbent firms in industries characterized by uncertainty and intense competition.

Rudimentary programming is an essential, transferrable, problem solving skill in many higher education (HE) programmes in academic institutions including Software Engineering, Business Information Technology, Computer Games Development, Design and Technology. The purpose of this paper is to address some of the problematic issues associated with teaching programming by the utilisation of a new novel teaching approach called games-based construction learning (GBCL) to attempt to increase motivation, engagement and learning effectiveness. An international and national trend is to introduce coding at earlier education levels resulting in upper primary education (PE) being the focus of this paper to ascertain if GBCL using Scratch to teach programming concepts is more effective at different levels of upper PE.

A large-scale empirical study introducing GBCL to teach programming concepts into 16 classes between levels 4 and 7 in PE utilising 384 children. A detailed implementation framework for GBCL using Scratch in PE was utilised to address all incorporation issues and the games constructed by the children scored utilising a game codification scheme specifically designed to address programming and design as a quantification rubric. The experiment utilised eight 1- h lessons on GBCL using Scratch.

The resulted in 178 games of varying levels of complexity developed. The results indicated that GBCL was an effective mechanism to teach programming concepts using Scratch at all levels of upper PE. Primary seven students scored higher in relation to the design metric of the quantification codification rubric.

Under the Curriculum for Excellence (CfE) in Scotland non-traditional teaching approaches are encouraged and development of digital literacy skill is highly advocated. This has resulted in a new approach, novel approach called GBCL where children create their own games utilising an engine such as Scratch is gaining significant attention in terms of being a novel approach. Despite a plethora of similar studies associated with GBCL, it is still not as developed as games-based learning and requires further empirical studies to support the validity of the approach and resolve identified issues.

Computer programming itself can lead to a highly rewarding career in a number of sectors from games development to banking, such as cybersecurity and systems development. In the last decade, in particular due to the ubiquitous nature of technology there is an increasing international and national trend associated with teaching rudimentary programming concepts at a far younger age including secondary education and the upper PE level. Introducing programming at an earlier level is now being considered essential as the path to transfer from novice to expert programmer level in time is considered nearly a decade approximately. The introduction of GBCL interventions may yield positive results in a supplementary learning capacity in accordance with the CfE and increase the educational effectiveness of programming education in later levels of education.

This study presents a large-scale empirical evaluation of GBCL in upper PE utilising a compiled implementation framework for incorporation and a detailed game codification scheme to quantify the games produced highlighting coding constructs and design.

The purpose of this study is to investigate individuals’ perceptions and behavior when dealing with misinformation on social media platforms. While misinformation is not a new phenomenon, the COVID-19 outbreak has accelerated its spread through social media outlets, leading to widespread exposure to false or misleading information. This exposure can have serious consequences on individuals’ decision-making and behavior, especially when it comes to critical decisions related to education or healthcare. The use of social media as a source of information makes it essential to understand how people perceive and respond to misinformation to develop effective strategies for mitigating its harmful effects.

This large-scale study explores the Omani individuals’ perceptions and behaviour of misinformation on the social Web in a series of studies that seek to enhance the authorities’ response to misinformation. The study adopted a quantitative approach to collect data. Using WhatsApp as a social networking platform, a survey was disseminated to capture participants’ perceptions and behaviour among different segments of citizens in Oman.

The findings showed that Omani participants have high verification skills, implying high information literacy skills among them. Additionally, results indicated that misinformation had created doubt and anxiety among the participants. Moreover, it hindered many participants’ ability to take countermeasures and obtain reliable data.

This study was a large-scale study conducted in Oman, making it one of a few studies conducted in the region about perceptions and behaviour towards misinformation. The findings help to understand how different cultures interacted with COVID-19 misinformation. In addition, these findings offer useful insight that can help health information professionals to design preventive resources that help people to obtain accurate information during crises.

Over the last decade, technological and social trends have significantly influenced the relationship between customers and insurers. New buying patterns, price comparison platforms and the usage of different interaction channels driving single-product purchases and impacting lapses have influenced insurers’ customer portfolios and development. The purpose of this paper is to study the features driving the customer relationship along three areas, namely, customer acquisition, development and retention.

After defining 14 related hypotheses, the authors use econometric analyses to quantitatively support these hypotheses in the three areas of interest. The authors build on a large-scale longitudinal data set from a Swiss insurance company covering the period from 2005 to 2014 and including 2,757,000 customer-years. The data comprise information on private customers, their contract history, including coverage and losses and the channels used for buying insurance. This analysis focuses on the two most common non-life insurance products, namely, household/liability and car insurance.

The authors provide descriptive statistics and results from econometric analyses to determine the significant features and patterns affecting customer development and retention. Among the main results, the authors underline the significant influence on cross-selling given by the customer’s age and the interaction channel. Customers from rural regions are more loyal and likely to conduct cross-buying when compared to their peers from urban regions. Car insurance holders are more likely to lapse than household/liability insurance clients. Finally, while newly acquired customers tend to buy only a single product, the authors show the importance of cross-selling for retaining customers. In fact, customer retention is positively influenced by the number of products hold.

This work is relevant for academics and practitioners alike, adding a quantitative basis to the understanding of managing customer relationships and for the development of further prospective models. Further work could investigate or add products, extend the study to other companies and focus on customer development with time.

This study explores a large-scale longitudinal data set. The analyses of customer acquisition, development and retention can support insurers to construct their own models for customer relationship management.