Search results

The paper is a proof of concept (PoC) intervention study aimed for developing performance management (PM) practices in manufacturing small and medium-sized enterprises (SMEs) with the longer-term aim enabling the SMEs to improve their productivity. The intervention was designed and deployed by a collaborative quartet of academics, management consultants, accountancy firm and a commercial bank manager.

The paper firstly musters a set of initialising PM practices aligned to productivity improvement. These are utilised to design a knowledge transfer intervention for deployment with a set of manufacturing SMEs incorporating some associated productivity tools. The evaluation of the intervention utilised a case study approach founded on a logic model of the intervention to assess the development of the PM practices.

The intervention contributed to a partial development of the mustered practices and the productivity diagnostic based on the multi-factor productivity (MFP) abstraction and a data extraction protocol had the strongest impact. The study revealed the importance of the three interlaced factors: Depth of engagement, feedback opportunities and the intervention gradient (the increase of independent action from the participating SME's and the diminishment of the external intervention effort).

The case study is based on a limited number of individual SME's, and within just the manufacturing sector.

SME businesses will require a more sustained programme of interventions than this pilot to develop PM capability, and depth of engagement within the SME is critical. Professional stakeholders can be utilised in recruitment of firms for intervention programmes. Business can start developing PM capability prior to PMS implementation using the tools from this programme.

The productivity diagnostic tool, based on a synthesis of MFP and the performance pyramid, an array of potential initialising practices for PM capability and discovery of potential mechanisms for PM practice development.

The objective of this research is to explore integration and transition activities in large industrial projects. The purpose is to (a) obtain a better understanding of the integration and transition activities between the project front-end (FE) and project initiation phases (PIPs), (b) explore what, how and when these integrations and transitions occur, and (c) explore what the integration and transition activities mean to project practitioners.

A qualitative research design methodology is followed, based on interviews using open-ended questions. An expert panel is used to provide responses to questions pertaining to the integration and transition between the project FE and PIP. The research is focused on managing large projects in the South African electrical engineering industrial projects industry. A literature review combined with empirical analysis reflects the importance of integrating and transitioning in project business.

The findings provide guidance to researchers and practitioners on integration and transition mechanisms, how and when these occur. It highlights the benefits of integration and transition activities. Important lessons for researchers and practitioners are provided together with areas for future research.

This is an interpretative analysis of expert opinion. Expert panel members are experienced at senior decision-making level, and their expertise was accessed based on experience, education and knowledge. This extensive experience is shared in this paper providing insights into their opinions, experiences, success and failures. These inputs together with the literature review provide interesting implications for both a theoretical foundation as well as practical implications for practitioners.

In spite of the rise of social media influencers observed in the 2010s, the direction and future of influencers are ambiguous. This popular yet overused marketing tool has shown certain problems and limitations such as a decrease in perceived authenticity and market saturation. Additionally, the outbreak of COVD-19 has amplified the significance of these factors and made many companies and influencers reconsider their involvement in influencer marketing. Within this context, this paper aims to explore whether influencers were impacted by diminishing perceived authenticity, market saturation or the prolonged pandemic. Also, the authors aim to investigate influencers’ perception of the future of influencer marketing post-pandemic.

To gain insight into trends in influencer marketing from the influencer’s perspective, this paper uses qualitative research in the form of interviews with influencers and industry professionals.

The findings highlight the importance of perceived authenticity for success in influencer marketing. Most interviewees indicated that they had noticed a boom in social media influencer marketing before the pandemic, yet provided mixed views regarding the market during the pandemic. Several believe that influencers will continue to be relevant in the increasingly digital world (e.g. increasing digital marketing spend and e-commerce), whereas an expectation of new digital platforms and innovations was also observed. In the long term, saturation and decreased effectiveness were predicted by several interviewees.

This under-researched topic is of relevance especially to consumer goods companies, as social media marketing and influencer marketing are currently highly effective and popular tools. To refine marketing strategies designed around influencers, understanding the limitations, in the context of COVID-19, is crucial.

The problem statement is how to identify and analyze the corporate risks involved in the relationships with external agents involved in the open product innovation process (OPIP)? Seeking to extend this investigation, the purpose of this paper is to analyze the enterprise risks identified in corporate relations with external agents of the OPIP. This study proposes the systematization of the process of identification and analysis of the enterprise risks involved in the process of open product innovation.

The case explored in this study is the OPIP of Volkswagen do Brasil (VWB), one of the most important subsidiaries of the Volkswagen Group. Criteria were selected to both assessing corporate relations with external agents of the open innovation of VWB and analyzing the enterprise risks identified in these relations. Data collection included interviews with management-level professionals engaged in the OPIP activities and technical visits to a VWB’s industrial plant.

Results demonstrate that the enterprise risks mostly affecting the OPIP have a critical impact on the manufacturing process and initial sales of the new product.

The originality of the study focuses on the proposal of a systematization of how to identify and analyze the corporate risks involved in the process of open product innovation. The study focuses on the theoretical frontier on the open innovation and enterprise risk management (ERM) in the open innovation process.

This paper aims to explore the lived experiences of key stakeholders working with homeless people during the implementation of universal credit during the austerity years.

The literature on austerity reveals welfare reforms’ impact on support services staff. Service providers’ perceptions of the impact of austerity-led policies and welfare reform via nine interviews with people working in homelessness organisations in Brighton and Hove in the UK. Service providers see the situation for their service users has gotten worse and that the policies make it more difficult to extricate themselves from their current situation. Three central themes relating to the impact of austerity-led welfare reforms were, namely, Universal Credit: the imposition of a precarious livelihood on welfare claimants; a double-edged sword: “If people are sanctioned: people can’t pay”; and “Hard to maintain my own mental equilibrium”.

More precisely, this paper captures service providers’ perceptions and experiences of the impact of austerity-led policies on their services and how they believe this, in turn, impacts their clients and their own lives.

The dimension cuts across service provision to vulnerable people and is intertwined with health and well-being outcomes. Austerity is detrimental to the health of service users and their clients. It is known that when it comes to the health and well-being of the most vulnerable, who have suffered most from the impacts of austerity policies. However, in times of open austerity, it falls also on those trying to ease their suffering.

The data suggest that policies were developed and accentuated by austerity, which led to the stripping of welfare support from vulnerable people. This process has impacted the people who rely on welfare and service providers.

During the coronavirus disease 2019 (COVID-19) pandemic, employers struggled to develop virtual onboarding (VO) experiences among new employees. Prior research has examined VO processes. This study, by contrast, compares online commentaries in relation to current research findings to determine a functional description of effective VO.

Using a qualitative, inductive thematic analysis, the researchers explored new employees' online, anonymous, public commentary about the employers' VO experiences. Through analyzing 83 posted communications, the researchers sought to not only categorize themes, but to also identify meaning within the employees' commentary. From the thematic analysis, meaningful themes were established and compared to existing literature to identify comprehensive trends in effective VO.

The analysis developed nine themes of discussion question (DQ) prompts and nine themes of discussion responses. The professionals' online discussion about VO in the workplace as well as attributes of each theme was compared to contemporary VO research. In combination with a review of established literature of effective VO and an examination of organizational socialization theory, the study confirms that some virtually onboarded employees are excelling with, and some are challenged by the communication deficiencies of the remote experience. Employee experiences are highlighted to develop a description of contemporary effective VO experiences to support future workplace efficiencies.

Data were gathered via Blind and each response shared on Blind is subject to the viewpoint of the participants. For future research, face-to-face interviews might offer context regarding new hires' VO experiences. Also the generalizability is impacted because not all participants of VO participate via Blind. Participant bias is possible given the perceived dissatisfaction or negative experiences. Future research can perform a national random study of employees. Finally, the data and participants in this study were USA based. Future research should consider other international contexts such as Europe.

The thematic findings of this study yield valuable practical recommendations. New hires that experience VO are seeking improved virtual communication channels between themselves and the managers and colleagues of the hires. As such, corporate managers/trainers can implement a virtual mentoring program to have senior employees prepare and guide new hires into employees' new remote working environment to reduce employees' uncertainty. To improve VO processes in a post-pandemic society, corporate managers/trainers can incorporate social media communication given that employees participate in social media to develop their careers. With social media work groups, new virtual hires can be better socialized through effective peer-to-peer informal internal communications where the hires can freely ask questions and build better work relationships.

In each onboarding experience and evident in each of the five themes, learning is an underlying concept. New employees are describing that it is challenging to development organizational shared values, skills, attitudes, knowledge, abilities, behaviors and relationships in a VO process. As organizational leaders continue to develop VO experiences, a focus on learning as dependent on the virtual learning process and content can be significant in terms of creating a positive employee VO learning experience.

The findings are unique in exploring new hires' self-reported VO experiences. This study offers insight into effective VO practices such as developing virtual trainings that are well planned, engaging and supporting of relationships, collaborations and career goals.

Purpose: Nowadays, many terms like computer vision, deep learning, and machine learning have all been made possible by recent artificial intelligence (AI) advances. As new types of employment have risen significantly, there has been significant growth in adopting AI technology in enterprises. Despite the anticipated benefits of AI adoption, many businesses are still struggling to make progress. This research article focuses on the influence of elements affecting the acceptance procedure of AI in organisations.

Design/Methodology/Approach: To achieve this objective, propose a hierarchical paradigm for the same by developing an Interpretive Structural Modelling (ISM). This paper reveals the barriers obstructing AI adoption in organisations and reflects the contextual association and interaction amongst those barriers by emerging a categorised model using the ISM approach. In the next step, cross-impact matrix multiplication is applied for classification analysis to find dependent, independent and linkages.

Findings: As India is now focusing on the implementation of AI adoption, therefore, it is essential to identify these barriers to AI to conceptualise it systematically. These findings can play a significant role in identifying essential points that affect AI adoption in organisations. Results show that low regulations are the most critical factor and functional as the root cause and further lack of IT infrastructure is the barrier. These two factors require the most attention by the government of India to improve AI adoption.

Implications: This study may be utilised by organisations, academic institutions, Universities, and research scholars to fill the academic gap and faster implementation of AI.

Banking traces back to 2000 BC in Assyria, India and Sumeria. Merchants used to give grain loans to farmers and traders to carry goods between cities. In ancient Greece and Roman Empire, lenders in temples, provided loans, and accepted deposits while performed change of money. The archaeological evidence uncovered in India and China corroborates this. The major development in banking came predominantly in the mediaeval, Renaissance Italy, with the major cities Florence, Venice and Genoa being the financial centres. Technology has become an inherent and integral part of our lives. We are generating a huge amount of data in transfer, storage and usage, with greater demands of ubiquitous accessibility, inducing an enormous impact on industry and society. With the emergence of smarter cities and societies, the security challenges pertinent to data become greater, impending impact on the consumer protection and security. The aim of this chapter is to highlight if SSI and passwordless authentication using FIDO-2 protocol assuage security concerns such as authentication and authorisation while preserving the individual's privacy.

Antibiotics shortages have become an increasingly common problem in Europe because of several reasons, including the offshoring of the production of active pharmaceutical ingredients for many of these products to low production cost countries, such as China and India. The problem has deteriorated because of the Covid-19 crisis that has put most global value chains (GVCs) under great stress. This situation has boosted extensive discussions among academics, practitioners and policymakers on possible changes to the configuration of GVCs. This paper aims to focus specifically on antibiotics supply chains from the perspective of a small country (Sweden), and analyse the pros and cons of backshoring and nearshoring alternatives, as a means to reduce drug shortages.

This work adopts a systemic perspective to capture the implications of reshoring for the different stakeholders involved in the antibiotics field. The present meso-analysis, focusing at the industry level, is based on multiple sources of primary data collected between 2014 and 2021, including participation in policy-related projects and interviews with over 100 representatives of key stakeholders in the antibiotics field.

This paper shows how reshoring can address the problems of drug shortages and reduce availability risk in antibiotics’ GVCs. However, the authors show that no simple and best solution exists because both alternatives of reshoring, i.e. backshoring and nearshoring, entail pros and cons for different stakeholders. The authors conclude with implications for policymakers and managers.

The analysis of pros and cons of both backshoring and nearshoring for various stakeholders offers relevant implications for research on operations and supply management, international business and economics/political science.

This paper looks at reshoring as a policy-driven decision and provides an innovative systemic perspective to analyse the implications for different stakeholders of two reshoring options concerning the antibiotics supply chain.

This study examines the Robo-Advisors (RA) based on Artificial Intelligence (AI), a new service that digitises and automates investment decisions in the financial and banking industries to provide low-cost and personalised financial advice. The RAs use objective algorithms to select portfolios, reduce behavioural biases, and improve transactions. They are inexpensive, accessible, and transparent platforms. Objective algorithms improve the believability of portfolio selection.

This study adopts a qualitative approach consisting of an exploratory examination of seven different RA case studies and analyses the RA platforms used in the banking industry.

The findings provide two different approaches to running a business that are appropriate for either fully automated or hybrid RAs through the realisation of two platform model frameworks. The research reveals that relying solely on algorithms and not including any services involving human interaction in a company model is inadequate to meet the requirements of customers in decision-making.

This study emphasises key robo-advisory features, such as investor profiling, asset allocation, investment strategies, portfolio rebalancing, and performance evaluation. These features provide managers and practitioners with new information on enhancing client satisfaction, improving services, and adjusting to dynamic market demands.

This study fills the research gap related to the analysis of RA platform models by providing a meticulous analysis of two different types of RAs, namely, fully automated and hybrid, which have not received adequate attention in the literature.