Search results

This paper aims to specifically focus on the challenges that human resource management (HRM) leaders and departments in contemporary organisations face due to close interaction between artificial intelligence (AI) (primarily robots) and human workers especially at the team level. It further discusses important potential strategies, which can be useful to overcome these challenges based on a conceptual review of extant research.

The current paper undertakes a conceptual work where multiple streams of literature are integrated to present a rather holistic yet critical overview of the relationship between AI (particularly robots) and HRM in contemporary organisations.

We highlight that interaction and collaboration between human workers and robots is visible in a range of industries and organisational functions, where both are working as team members. This gives rise to unique challenges for HRM function in contemporary organisations where they need to address workers' fear of working with AI, especially in relation to future job loss and difficult dynamics associated with building trust between human workers and AI-enabled robots as team members. Along with these, human workers' task fulfilment expectations with their AI-enabled robot colleagues need to be carefully communicated and managed by HRM staff to maintain the collaborative spirit, as well as future performance evaluations of employees. The authors found that organisational support mechanisms such as facilitating environment, training opportunities and ensuring a viable technological competence level before organising human workers in teams with robots are important. Finally, we found that one of the toughest challenges for HRM relates to performance evaluation in teams where both humans and AI (including robots) work side by side. We referred to the lack of existing frameworks to guide HRM managers in this concern and stressed the possibility of taking insights from the computer gaming literature, where performance evaluation models have been developed to analyse humans and AI interactions while keeping the context and limitations of both in view.

Our paper is one of the few studies that go beyond a rather general or functional analysis of AI in the HRM context. It specifically focusses on the teamwork dimension, where human workers and AI-powered machines (robots) work together and offer insights and suggestions for such teams' smooth functioning.

Artificial intelligence (AI) is intelligence displayed by machines, in contrast with the natural intelligence (NI) displayed by humans and other animals. It is also known as machine intelligence (MI) and is used because a machine mimics the cognitive functions that humans associate with human ability, such as logical reasoning, learning, and problem-solving. From Facebook’s automatic tagging suggestions to driverless cars, AI is rapidly progressing, and therefore, the ethical and moral question now is not whether AI should exist or not. AI exists and is already helping in improving various aspects of life such as health, safety, convenience, and overall standard of living. AI can replace or substitute routine mechanical, repetitive, boring jobs to free and unleash human creative and innovative talent to big thinking projects and humanizing work and society. AI can provide digital assistance in routine day-to-day tasks, detect cancer, diagnose rare diseases, and even prevent car crashes. AI can replace jobs, however, but not human work. Work as a duty, self-actualization and destiny will always continue, if not on the shop or office floors or boardrooms, at home, gardens, places of prayer and worship, and labs of creativity and innovation, in society and civilizations. While AI may indirectly free human talent for more meaningful and creative work, it can rarely participate in higher purposes such as creating bonding and belonging groups, in creating forgiving and compassionate communities, in drumming up small business, startups and corporations, and in harmonizing and humanizing this planet and cosmos for bliss or happiness. This chapter on AI, while investigating its market turbulence, will go beyond the legal aspects to ethical, moral, and spiritual dimensions and sacred opportunities of AI.

While prior studies have examined how loyal customers create value for preferred manufacturers, this study aims to focus on the supply chain and captures the indirect economic and relational benefits and costs of customer value creation on channel intermediaries.

Service-dominant logic is used to explain the rationale behind consumer contributions and supply chain connectedness in an interactive online world. Drawing from the relevant literature, a conceptual model supported by propositions is presented.

As manufacturers utilize consumer contributions, affiliated intermediaries will report having less informational power, providing less value to the channel, greater benefit-based and cost-based dependence, heightened efforts to create channel value, an enhanced reputation and greater sales, and greater collaboration with customers.

This conceptual paper is the beginning of an investigation into the pragmatic function of a service-dominant view as it pertains to a marketing channel. As this avenue for research is further developed, it is important that the propositions included in this study first be examined.

Awareness of the underlying logic and the resulting impacts should aid channel intermediaries in realizing their own contributions throughout the manufacturer ' s value chain and recognizing changes to their positions of power. As a result, channel intermediaries should be better positioned to assess the health and future prospects of the relationship.

This work is the first study to examine potential impacts on the intermediary operating in a channel in which the manufacturer is significantly influenced by consumer contributions.

This paper aims to identify and discuss insights from the business model field on the creation and delivery of value to customers that provide new thinking in relation to the strategic management accounting field.

The customer emphases exhibited in parts of the extant strategic management accounting literature are highlighted and amplified using insights from the business model literature, including those relating to value propositions, customer value creation and delivery and meeting customers’ value expectations.

The paper demonstrates that in addition to providing valuable insights for accounting to management, an extended strategic management accounting concept enables accounting and reporting to customers, now identified as major stakeholders, in the context of integrated reporting.

Through its customer resonances, the paper affirms strategic management accounting’s practical utility for organisations seeking a strong position in highly competitive marketplaces, via the addition of a focus on accounting to customers.

The paper’s use of insights from the business model literature further reinforces the view that strategic management accounting potentially constitutes a pivotal development within both managerial and financial accounting and reporting.