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Focuses on “tangibilizing the intangible” as a key to success in services marketing and presents various issues related to this topic. Argues that consistency in maintaining quality is very important and that further research is required.

Considers the need for industrial marketers to understand buyers′ behavioural choices, which are affected by various factors. Examines types of behaviour and their implications for marketing strategy, offering a company example. Concludes that the development of a successful marketing strategy requires the accurate prediction of buyer behaviour, offering a useful model.

Today we are in an “information society”. Live information is strategic both for the customer and the portfolio manager. This means that the best way to fight against risk is to act and react very quickly. This way of thinking leads to short‐term planning process. This paper presents the place of portfolio management in the short‐term planning process in France. Today, portfolio management is greatly influenced by institutional organisation and new technologies. New competences are needed, new competitors and new strategies appear (for bankers) and generate a new organisation of this industry as a whole.

This conceptual chapter aims to understand the role of artificial intelligence (AI) in value co-creation phenomena in a healthcare service ecosystem, through a literature review and the definition of a conceptual framework. AI, as an operant resource, can stimulate a completely patient-centered, adaptive and resilient healthcare system, and governance models in healthcare based on data-driven decision-making (DDDM), ensuring faster choices, more timely diagnosis and more personalized treatment paths. However, the full implementation of AI in healthcare is inhibited by some frictions, mainly related to the risk that the AI black box may generate an inadequate automatic decision, also due to the quality of data used, often partial and unstructured given the reluctance to share them by patients concerned by privacy threats. The co-design (multi-part and multi-level) of a predictive decision model based on the functional transparency of the AI algorithm would allow for augmented decision as result of an effective human–machine interaction. Healthcare actors could thus make decisions using the information detected by the software (based on clear cause-and-effect correlations and modifiable variables in case of mistakes), integrated with their professional knowledge. This would also help to strengthen the patient’s perception of the decision’s reliability and accuracy and the safety of the tool (factors that can affect his/her trust). AI may be considered as a driver for value co-creation in healthcare, thanks to transparency. It would allow the promotion of collaborative behaviors involving actors by generating new institutions and new resource integration practices among them.

This study aims to introduce a methodology for optimal allocation of spinning reserves taking into account load, wind and solar generation by application of the univariate and bivariate parametric models, conventional intra and inter-zonal spinning reserve capacity as well as demand response through utilization of capacity outage probability tables and the equivalent assisting unit approach.

The method uses a novel approach to model wind power generation using the bivariate Farlie–Gumbel–Morgenstern probability density function (PDF). The study also uses the Bayesian network (BN) algorithm to perform the adjustment of spinning reserve allocation, based on the actual unit commitment of the previous hours.

The results show that the utilization of bivariate wind prediction model along with reserve allocation adjustment algorithm improve reliability of the power grid by 2.66% and reduce the total system operating costs by 1.12%.

The method uses a novel approach to model wind power generation using the bivariate Farlie–Gumbel–Morgenstern PDF. The study also uses the BN algorithm to perform the adjustment of spinning reserve allocation, based on the actual unit commitment of the previous hours.

This paper aims to provide more insights into the standard of corporate governance in New Zealand. The study intends to uncover how a small country with a well-developed economy with a good system of law and order, good institutional set up and law enforcements and implements the principles contained in the FMA’s corporate governance guidelines in practice.

The study is a mixed study one where it employs case study content analysis and augmented by conducting interviews. Large companies are selected to ascertain the level of compliance of NZ companies towards their obligations to report on corporate governance practices within the organisation. At the first stage, the study uses content analysis and looks at contents of company annual reports and publications on websites to determine whether they had disclosed as intended by New Zealand’s corporate governance guidelines.

The study found that a high compliance was recorded in areas such as board composition and board committees and low compliance recorded in areas involving costly implementation or when the issue is sensitive such as disclosures regarding remuneration details of directors and what non-audit work was undertaken and whether it compromises auditor independence. Being a small country, NZ has performed well in attracting foreign investment due to its strong tradition of law enforcement and respect for regulations. With greater awareness of the importance of corporate governance to investors, companies may see the benefit of greater compliance with the corporate governance guidelines. This is in line with the stakeholder theory and resource dependency theory where companies will voluntarily disclose information on corporate governance, social and environmental performance over and above mandatory requirements to appease and manage their stakeholders.

The sample size of this study represents 3 per cent of total listed companies in New Zealand, but the sample is approximately 10 per cent of local NZ listed companies (i.e. not dual listed in Australia). There are 36 large companies in the New Zealand stock market with market capitalisation of 1 billion and above. In addition, the companies selected for this study are well-known in New Zealand, and it is acknowledged that this can be a source of bias in my analysis.

As was revealed during the interviews with company’s senior officials, Australian companies have achieved a higher level of compliance with the code of corporate governance. In this regard, New Zealand will have to step up and follow Australia’s lead to ensure greater compliance with the New Zealand corporate governance principles and guidelines. It would be in the best interest of the company’s stakeholders if full compliance is achieved.

Studies on the level of compliance by New Zealand companies on their obligations to meet the full extent of disclosures as stipulated by the New Zealand corporate governance guidelines are rare. This study aims to ascertain the standard of corporate governance reporting in New Zealand and the company’s seriousness to comply or attempt to meet the requirements in the seven stipulated principles.

The purpose of this paper is to present the results of an exploratory study that investigates Portuguese academics’ conceptions concerning the temporal properties of e-learning, in the context of traditional Higher Education Institutions.

Grounded Theory methodology was used to systematically analyse data collected in semi-structured interviews with 62 academics. Data analysis followed the constant comparative method and its three-staged coding approach: open, axial and selective coding. Data collection and analysis developed until theoretical saturation was reached.

Emergent academics’ conceptions concerning the temporal properties of e-learning indicate the existence of unregulated and unaccounted for dynamics, which are a direct consequence of transitioning from campus-based lecturing to teaching online using the affordances of virtual learning environments. This transition produces disruptions to established workload metrics and work patterns, as well as conflicts with dominant modes of instructional delivery that are not synchronised with the demands of online interaction and immediacy.

This paper is valuable to e-learning strategists and administrators. An understanding of the temporal properties of e-learning as perceived by academics provides actionable knowledge that is directly applicable to the design of suitable work arrangements, normative frameworks and e-learning practices that address perceived time-related barriers. To mitigate the time-related conflicts and disruptions identified in the study the authors suggest the establishment of university-wide norms of virtual presence and the implementation of temporal protocols to sustain the productive engagement between instructors and learners.

This paper gives a review of the finite element techniques (FE) applied in the area of material processing. The latest trends in metal forming, non‐metal forming and powder metallurgy are briefly discussed. The range of applications of finite elements on the subjects is extremely wide and cannot be presented in a single paper; therefore the aim of the paper is to give FE users only an encyclopaedic view of the different possibilities that exist today in the various fields mentioned above. An appendix included at the end of the paper presents a bibliography on finite element applications in material processing for the last five years, and more than 1100 references are listed.