Search results

The purpose of this paper is to investigate the implementation of digital transformation in small and medium-sized enterprises in Vietnam.

The research features in-depth personal interviews with SME executives and managers.

The findings of this study may be summarized into five main areas: (1) multi-tasking role and scarcity of resources; (2) risk; (3) data-driven decision-making processes; (4) efficient communications; and (5) strategic issues. These categories emerged from the content analysis process.

Qualitative research provides a good explanation for situations in actual firms but may not always be generalizable.

Means of overcoming problems with implementing digital transformation in Vietnamese SMEs are provided.

Most studies of Vietnamese companies focus on intensive manufacturing and membership in supply chains. Few studies consider the emergent service and technology sector.

Work-life flexibility policies (e.g., flextime, telework, part-time, right-to-disconnect, and leaves) are increasingly important to employers as productivity and well-being strategies. However, policies have not lived up to their potential. In this chapter, the authors argue for increased research attention to implementation and work-life intersectionality considerations influencing effectiveness. Drawing on a typology that conceptualizes flexibility policies as offering employees control across five dimensions of the work role boundary (temporal, spatial, size, permeability, and continuity), the authors develop a model identifying the multilevel moderators and mechanisms of boundary control shaping relationships between using flexibility and work and home performance. Next, the authors review this model with an intersectional lens. The authors direct scholars’ attention to growing workforce diversity and increased variation in flexibility policy experiences, particularly for individuals with higher work-life intersectionality, which is defined as having multiple intersecting identities (e.g., gender, caregiving, and race), that are stigmatized, and link to having less access to and/or benefits from societal resources to support managing the work-life interface in a social context. Such an intersectional focus would address the important need to shift work-life and flexibility research from variable to person-centered approaches. The authors identify six research considerations on work-life intersectionality in order to illuminate how traditionally assumed work-life relationships need to be revisited to address growing variation in: access, needs, and preferences for work-life flexibility; work and nonwork experiences; and benefits from using flexibility policies. The authors hope that this chapter will spur a conversation on how the work-life interface and flexibility policy processes and outcomes may increasingly differ for individuals with higher work-life intersectionality compared to those with lower work-life intersectionality in the context of organizational and social systems that may perpetuate growing work-life and job inequality.

This paper aims to propose that a Jesuit education can create leaders who can respond responsibly to modern challenges. It is observed that there remains a lacuna in education due to various reasons that fail to penetrate the hearts and minds of students who come only to earn their degrees. Today’s education fails to give students experiences whereby they can understand the poor and the oppressed. Here, the Jesuit education system offers a road map of how a bridge can be built, which can tie up the two ends of rigorous academic and social concern.

The emic observation was employed to corroborate the claim. The researcher is a Jesuit himself who has personal experience of the culture of Jesuit education and does research in the seminal field. The co-author is a Jesuit-run business school professor who knows Jesuit ethos, tradition and their apostolic thrust.

Frequently students join the educational institute, with their minds fixed on which school could provide them with a passport for better jobs with better pay and perks. Resentment is seen in their attitude when something is talked about the responsibility of taking care of the people at the margins of society. Social involvement and responsibility are seen as work done only by a social worker and activist. Also, it is witnessed that tokenism is considered as sufficient work done by the privileged classes. Against this backdrop, Jesuit education has various policies and protocols to ensure that those who graduate from their schools become leaders with a blend of human values, academic excellence and social conscience.

The underpinning conclusions are to introduce the unique characteristics of the “Jesuit education system”, which gives fresh impetus to renewal, innovation and re-imagination that our academics or industry require during this change of epoch that we experience today, after COVID-19.

The purpose of this study is to bring out the success of the Godrej Group, focusing on their leadership styles and discussing how authentic and ethical leadership leads to value-based leadership (VBL), which has its eminence in the post-COVID-19 world.

The case study has been designed based on secondary published sources and few informal interactions with the leaders associated with the Godrej Group.

It was found that VBL is derived from authentic and ethical leadership and Adi Godrej, Chairman of Godrej Group, managed to sail through all these years successfully by adopting the authentic, ethical and VBL style, thereby transforming the family business into a global business and a valuable brand.

The case study is based on secondary published sources and informal interactions with the Godrejites. The different elements and eminence of authentic, ethical and VBL styles are explored. These values will play a significant role in the post-COVID-19 world. Value-based leader inculcates a clear, honest, empathetic and simple approach to employer–employee communication as the COVID-19 situation evolves. This case will therefore be of value to anyone using or considering a value-based approach to developing a successful leadership culture. These include Masters of Business Administration students, entrepreneurs, professional practitioners, etc.

Despite the trend, managing and maximizing the effectiveness of blended workforce is not well-understood. The purpose of this paper is to institutionalize a blended workforce model in the post-COVID era, that is, a movement from homogenous workforce to heterogenous workforce of full-time employees working in tandem with gig talents connected via digital platforms.

The evolution of gig economy is presented for contextualizing the development of prospective business models in the post-COVID era to establish clarity on the relationship between the employers and the blended workforce. To achieve this conceptual switch, a framework is proposed to support this type of workforce for creating a fair balance.

By drawing on the concepts of various talent management functions, propositions were made predicting that the alignment of the multilateral activities of the gig workers with permanent workforce will be leveraged in the future to address the needs of short-term specialized skill-sets and scalable operations while creating a fair balance through a flexible and agile workforce.

First, the paper explores how bridging the gap between the traditional and gig workforce can impact the key antecedents of a blended workforce ensuring a fair trial. Second, on an economical level, the COOKIE framework proposed in the paper is expected to play a crucial role in creating new job opportunities, boosting employee morale while minimizing costs and increasing productivity of the organizations.

The study aims to provide a critical review of the extent to which digital technologies are likely to replace human labour, the exponential rise in the amount of work to be done and how far distinctively human skills are future-proofed and therefore likely to be in short supply. It reviews the evidence for a permanent switch to home and remote working enabled by emerging technologies. It assesses the business, digital and labour strategies of work organisations and the promise and challenges from a dominant trend towards a digitally enabled flexible labour model.

A critical review of 1020 plus case studies and the extant literature was carried out.

The relationship between emerging technologies and work is widely misunderstood, and there are major qualifiers to the idea of an overwhelming tsunami of technology drastically reducing headcounts globally. Distinctive human skills remain valuable, the amount of work to be done is increasing exponentially and automation is becoming more a coping than a labour replacement mechanism. Moves to a hybrid digitalised flexible labour model are promising but not if short-term, and if the challenges they represent are not managed well.

The main limitation is that we are making projections into the future, though we are drawing on a lot of different sources and evidence and past data projected into the future.

The problem is not labour displacement but large skills shortages that will slow down the speed of technology adoption. Skills development is vital, as is the taking of long-term perspectives towards the management of hybrid, flexible working based on human-machine interactions.

Organisations need to revitalise their training and development and labour management models. Governments and intermediary institutions need to manage transition states if the skills required to gain economic growth are to be available, and to ensure that large labour pools do not get bypassed from not having requisite skills.

The study offers a more subtle and complex perspective on the emerging evidence about the future of technology and work.

Social networks have changed the communication patterns significantly. Information available from different social networking sites can be well utilized for the analysis of users opinion. Hence, the organizations would benefit through the development of a platform, which can analyze public sentiments in the social media about their products and services to provide a value addition in their business process. Over the last few years, deep learning is very popular in the areas of image classification, speech recognition, etc. However, research on the use of deep learning method in sentiment analysis is limited. It has been observed that in some cases the existing machine learning methods for sentiment analysis fail to extract some implicit aspects and might not be very useful. Therefore, we propose a deep learning approach for aspect extraction from text and analysis of users sentiment corresponding to the aspect. A seven layer deep convolutional neural network (CNN) is used to tag each aspect in the opinionated sentences. We have combined deep learning approach with a set of rule-based approach to improve the performance of aspect extraction method as well as sentiment scoring method. We have also tried to improve the existing rule-based approach of aspect extraction by aspect categorization with a predefined set of aspect categories using clustering method and compared our proposed method with some of the state-of-the-art methods. It has been observed that the overall accuracy of our proposed method is 0.87 while that of the other state-of-the-art methods like modified rule-based method and CNN are 0.75 and 0.80 respectively. The overall accuracy of our proposed method shows an increment of 7–12% from that of the state-of-the-art methods.

Implementing change in healthcare is difficult to accomplish due to the unpredictability associated with challenging the status quo. Adapting the intervention/practice/program being implemented to better fit the complex context is an important aspect of implementation success. Despite the acknowledged influence of context, the concept continues to receive insufficient attention at the team-level within implementation research. Using two heterogeneous multidisciplinary healthcare teams as implementation case studies, this study evaluates the interplay between context and implementation and highlights the ways in which context influences the introduction of a collective leadership intervention in routine practice.

The multiple case study design adopted, employed a triangulation of qualitative research methods which involved observation (Case A = 16 h, Case B = 15 h) and interview data (Case A = 13 participants, Case B = 12 participants). Using an inductive approach, an in-depth thematic analysis of the data outlined the relationship between team-level contextual factors and implementation success.

Themes are presented under the headings: (1) adapting to the everyday realities, a key determinant for implementation success and (2) implementation stimulating change in context. The findings demonstrate a dynamic relationship between context and implementation. The challenges of engaging busy healthcare professionals emphasised that mapping the contextual complexity of a site and adapting implementation accordingly is essential to enhance the likelihood of successful implementation. However, implementation also altered the surrounding context, stimulating changes within both teams.

By exposing the reciprocal relationship between team-level contextual factors and implementation, this research supports the improved design of implementation strategies through better understanding the interplay and mutual evolution of evidence-based healthcare interventions within different contexts.

Even with the Saudi Arabian Government's discretionary measures to mitigate the spread of the coronavirus disease 2019 (COVID-19), the economic sectors were not spared from the damage. Thus, the paper aims to use a computable general equilibrium (CGE) model to evaluate the impact of COVID-19 on the Kingdom of Saudi Arabia's (KSA) economy, with a special focus on small and medium enterprises (SMEs) and production. These influence the level of poverty.

The paper adopted the social accounting matrix (SAM) for Saudi Arabia built in 2021 by Imtithal Althumairi from Saudi Arabia's 2017 SAM. The model represents a snapshot of the economy and different flows that exist within the tasks and institutions. Two simulations (mild and severe) were conducted because of the focus on the distributional outcomes.

Decrease in job creation and economic growth were significant evidence from the study's findings. Findings show that more families hit below the poverty line because the negative impacts of the pandemic have shifted the income allocation curve. Findings show that the weakest of the poor are mitigated by government social grants during the pandemic.

The paper is restricted to the relevant literature relating to the impact of COVID-19 on Saudi Arabia's economy and evaluated using the SAM model. Moreover, the COVID-19 is still an ongoing scenario; thus, the model should be updated as data utilised for the operationalisation are made available.

The information from the suggested model can be suitable to measure the degree of the harm, and thus, the likely extent of the desirable policy feedback. Also, the model can be updated, as data are made available and formulated policies based on the updated data implemented by the policymakers.

Apart from the recovery planning of SMEs during the pandemic, the paper intends to stir up Saudi Arabia's policymakers through the macro-micro model to recovery planning and resilience of the economy with emphasis on mitigating unemployment.

This paper aims to identify skills and competencies perceived relevant by tourism graduate employees and tourism employers for providing quality tourism services in Kenya.