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This paper aims to analyse the valuation of cultural products and explores what this process means for organizations involved in their production and marketing.

The authors develop the arguments using a number of mini-cases and industry examples.

The main thesis is that the meaningfulness and value ambiguity of cultural products shift the focus of valuation away from the products themselves towards how certain agents in the socio-cultural environment identify and certify these products. This paper discuss how valuation takes place via selection systems and how the nature of cultural products drives the dominance of one selection system over others.

Theories on value creation needs to take consideration of the critical role played by the selection system instead of just the firms that produce these products.

Organizations engaged in producing highly symbolic products need to manage selection systems and related industry dynamics to establish an enduring competitive advantage.

Value creation is a collective social efforts. Every member of the society can play a central role in this process. Better engaging various member of the society to enable them actively participate in the value creation process is what organizations today need to consider, instead of just treating individuals in the society as a “customer” who only passively consume. This research calls for the true empowerment of every member of the society to facilitate collective creativity and participation in the value creation endeavour that benefits the entire society as a whole.

It is the first paper that has created a conceptual link between the type of selection system and product categories. In other words, it takes existing literature on value creation and selection system one step further by creating the alignment or match between types of selection system and types of product categories. Therefore, it offers academics and practitioners a much detailed understanding on how value creation is conducted across different product categories.

Cyberstalking is a growing threat to society, and policymakers should address it utilizing the input of constituents. For this, two key components are required: actionable objectives informed by the values of society and the means of implementation to maximize their potential benefits. The process should be guided by the constituent's values, requiring the elicitation of intrinsic values as individual preferences that are extrapolated to society at large.

The authors utilize Keeney's (1990) public value forum and Sen's (1999) social choice theory (Sen, 1999) to elicit and convert these intrinsic values to serve as the basis for developing public policy to prevent cyberstalking.

The results demonstrate a strong desire by participants to have clear regulations, policies and procedures developed in concert with industry and enforced by the government that elucidate required protections against cyberstalking in combination with strong technical controls. These policies should guide technical control development and implementation, but leave ultimate control in the hands of technology users to decide what controls they want to utilize.

This study is the first to utilize Keeney's (1988) public value forum in the context of cyberstalking to develop quantitative measures regarding technology users' desired cybersecurity protections against cyberstalking. The authors provide a decision-making framework for policymakers to develop a new policy based on the input of their constituents in a manner that maximizes their potential utility and ultimate benefit.

The quest for improved facilities management (FM) delivery is receiving immense focus through the incorporation of innovative technologies such as cyber-physical systems (CPS). The system’s high computational capabilities can aid in the abatement of some of the challenges plaguing FM functions. However, the requisite ingredients for the uptake of the system for FM have still not gained scholarly attention. Because performance measurement is a vital index in determining the outcome of FM methods, this study aims to investigate the influence of performance measurement indicators that are influential to the uptake of CPS for delivering FM functions.

A qualitative technique was adopted using the Delphi technique. The panel of experts for the study was selected through a well-defined process based on stipulated criteria. The experts gave their opinions in two rounds before consensus was attained on the identified performance measurement indicators, whereas methods of data analysis were measures of central tendency, inter-quartile deviation and Mann–Whitney U test.

Results from this study showed that 11 of the performance indicators were of very high significance in the determination of the uptake of CPS for FM functions, whereas 5 of the indicators were proven to be of high significance. Furthermore, there was no statistical difference in the opinions of the experts based on their affiliation with academic institutions and professional practice.

The findings of this study contribute practically by aiding policymakers, facility managers and relevant stakeholders with the vital knowledge of delivery mandates for efficient FM services that can spur the uptake of digital technologies such as CPS.

This study contributes to the body of knowledge as it unveils a roadmap of the expected performance output and its accompanying evaluation that would drive the adoption of a promising technology such as CPS in the delivery of FM tasks.

Through its advanced computational capabilities, cyber–physical systems (CPS) proffer solutions to some of the cultural challenges plaguing the effective delivery of facilities management (FM) mandates. This study aims to explore the drivers for the uptake of CPS for FM functions using a qualitative approach – the Delphi technique.

Using the Delphi technique, the study selected experts through a well-defined process entailing a pre-determined set of criteria. The experts gave their opinions in two iterations which were subjected to statistical analyses such as the measure of central tendency and interquartile deviation in ascertaining consensus among the experts and the Mann–Whitney U test in establishing if there is a difference in the opinions given by the experts.

The study’s findings show that six of the identified drivers of the uptake of CPS for FM were attributed to be of very high significance, while 12 were of high significance. Furthermore, it was revealed that there is no significant statistical difference in the opinions given by experts in professional practice and academia.

The study’s outcome provides the requisite insight into the propelling measures for the uptake of CPS for FM by organisations and, by extension, aiding digital transformation for effective FM delivery.

To the best of the authors’ knowledge, evidence from the literature suggests that no study has showcased the drivers of the incorporation of CPS for FM. Hence, this study fills this gap in knowledge by unravelling the significant propelling measures of the integration of CPS for FM functions.

The purpose of this paper is to explore the relationship between general self-efficacy (GSE), job search self-efficacy (JSSE), extraversion and job search success within a sample of new entrants in the labour market. It is hypothesised that JSSE acts as a mediator between GSE and job search success. Evaluation of the hireability – made by expert interviewers – of new entrants involved in a job interview simulation is proposed as a job search success criterion. Moreover, the moderating role of extraversion on the relationship between JSSE and job search success is explored.

Data were collected on 177 graduates from an Italian university. Participants were involved in a simulation of an interview conducted by experts of the personnel selection process, who gave an evaluation. Macro PROCESS for SPSS was used to test the hypotheses.

GSE has an indirect effect on job search success via JSSE. Moreover, extraversion has a moderating effect on the JSSE–job search success relationship for more extraverted job seekers.

Job search and counselling practitioners should consider extraversion and personal differences to improve the effectiveness of interventions aimed at fostering new entrants' self-regulatory resources and behaviours during the job search.

This study contributes to the existing research about the job search process by testing a new and important job search success criterion, showing that GSE could help new graduates in establishing a specific self-efficacy, such as JSSE, and demonstrating that extraversion interacts with JSSE.

Unforeseen events can disrupt the operational process and negatively impact emergency resources optimization and its supply chain. A limited number of studies have addressed risk management issues in the context of emergency supply chains, and this existing research lacks inbuilt and practical techniques that can significantly affect the reliability of risk management outcomes. Therefore, this paper aims to identify and practically analyze the specific risk factors that can most likely disrupt the normal functioning of the emergency supply chain in disaster relief operations.

This paper has used a three-step process to investigate and evaluate risk factors associated with the emergency supply chain. First, the study conducts a comprehensive literature review to identify the risk factors. Second, the research develops a questionnaire survey to validate and classify the identified risk factors. At the end of this step, the study develops a hierarchical structure. Finally, the research investigates the weighted priority of the validated risk factors using the fuzzy-analytical hierarchy process (FAHP) methodology. Experts were required to provide subjective judgments.

This paper identified and validated 28 specific risk factors prevalent in emergency supply chains. Based on their contextual meanings, the research classified these risk factors into two main categories: internal and external risk factors; four subcategories: demand, supply, infrastructural and environmental risk factors; and 11 risk types: forecast, inventory, procurement, supplier, quality, transportation, warehousing, systems, disruption, social and political risk factors. The most significant risk factors include war and terrorism, the absence of legislative rules that can influence and support disaster relief operations, the impact of cascading disasters, limited quality of relief supplies and sanctions and constraints that can hinder stakeholder collaboration. Therefore, emergency supply chain managers should adopt appropriate strategies to mitigate these risk factors.

This study will contribute to the general knowledge of risk management in emergency supply chains. The identified risk factors and structural hierarchy taxonomic diagram will provide a comprehensive risk database for emergency supply chains.

The research findings will provide comprehensive and systemic support for respective practitioners and policymakers to obtain a firm understanding of the different risk categories and specific risk factors that can impede the effective functioning of the emergency supply chain during immediate disaster relief operations. Therefore, this will inform the need for the improvement of practices in critical aspects of the emergency supply chain through the selection of logistics and supply chain strategies that can ensure the robustness and resilience of the system.

This research uses empirical data to identify, categorize and validate risk factors in emergency supply chains. This study contributes to the theory of supply chain risk management. The study also adopts the fuzzy-AHP technique to evaluate and prioritize these risk factors to inform practitioners and policymakers of the most significant risk factors. Furthermore, this study serves as the first phase of managing risk in emergency supply chains since it motivates future studies to empirically identify, evaluate and select effective strategies that can eliminate or minimize the effects of these risk factors.

The purpose of this paper is to analyze the influence of the technological segment of the general environment in crowdfunding platforms’ operations in Brazil.

By means of a qualitative and exploratory approach, the research comprised the execution of a panel of experts via semi-structured interview scripts. For the data analysis, a content analysis with the software NVivo 9 was conducted.

One of the main results concerning this influence in the industry would be the expansion of internet access as key factor to scalability of operations and the use of analytics for developing markets. In addition, the cultural aspect emerges as facilitator for platforms access, thus the influence of technological segment cannot be analyzed without considering the cultural segment of the general environment.

Research limitations relate to the qualitative approach; although valuable insights were obtained for strategic policy in crowdfunding platforms, generalization is not possible. Moreover, the limited number of experts in the panel who agreed to participate may have been an obstacle for richer results.

Among some implications to the strategic management of crowdfunding platforms in the country are investment prioritization in analytics, governance and transparency of operations and marketing. Analytics will enable more effective insertion in supporting communities and better selection strategies of projects with attributes of success; governance and marketing will aid platforms to reduce cultural resistance on the part of the potential users.

Regulations regarding crowdfunding platforms as well as socio-cultural segment of the strategic environment are key aspects in fostering co-creation among participants and in bringing scale to crowdfunding operations; they may be mediated by technology. Thus, analytics along with marketing initiatives related to addressing shared practices in communities will have a significant impact on the adoption of crowdfunding. Furthermore, such task should be more intense than in developed economies where internet infrastructure and quality access are widespread.

Although various contributions have been made to the theme of crowdfunding, there has not been identified any paper addressing future influences of the strategic general environment, such as the technological segment, to the operations of crowdfunding platforms, especially in the Brazilian context.

Academics and practitioners have long acknowledged the potential of multiagent systems (MAS) to automate and autonomize decision-making in logistics and supply chain networks. Despite the manifold promises of MAS, industry adoption is lagging behind, and the exact benefits of these systems remain unclear. This study aims to fill this knowledge gap by analyzing 11 specific MAS use cases, highlighting their benefits, clarifying how they can help enhance logistics network resilience and identifying existing barriers.

A three-stage Delphi study was conducted with 18 industry experts. In the first round, these experts identified 11 use cases of MAS and their potential benefits, as well as any barriers that could hinder their adoption. In the second round, they assessed the identified use cases with regard to their potential to enhance logistics network resilience and improve organizational productivity. Furthermore, they estimated the complexity of MAS implementation. In the third round, the experts reassessed their evaluations in light of the evaluations of the other study participants.

This study proposes 11 specific MAS use cases and illustrates their potential for increasing logistics network resilience and enhancing organizational performance due to autonomous decision-making in informational processes. Furthermore, this study discusses important barriers for MAS, such as lack of standardization, insufficient technological maturity, soaring costs, complex change management and a lack of existing use cases. From a theoretical perspective, it is shown how MAS can contribute to resilience research in supply chain management.

The identification and assessment of diverse MAS use cases informs managers about the potential of this technology and the barriers that need to be overcome.

This study fills a gap in the literature by providing a thorough and up-to-date assessment of the potential of MAS for logistics and supply chain management. To the best of the authors’ knowledge, this is the first study to investigate the relevance of MAS for logistics network resilience using the Delphi method.

A maintenance budget is an element of maintenance management (MM) that deals with financial planning for maintenance operations and execution within a maintenance organisation. Developed countries have standardised MM structures which guides maintenance activities. This, however, cannot be said of developing countries, as there are few or no MM standards adopted. Given this contextual setting, the study aims to validate the relevance of maintenance budget (MB) elements utilised in developed countries for developing countries – using Nigeria as a case study exemplar. Also, the study further examines the effectiveness of the validated maintenance budget elements.

The research adopts qualitative techniques and employs the Delphi survey to collect and analyse primary data from an operational perception through structured questionnaires to solicit views from panellists on the subject being assessed. A relative importance index (RII) was used in measuring consensus for the Delphi study outcomes, while a Cronbach Alpha test was carried out on all the MB elements to determine their level of reliability.

The key finding from the study reveals that of the 21 elements that influence the implementation of MB, 10 elements have a very high influence on the MM of buildings (VHI: 9.00–10.00), 5 elements had a high influence (HI: 7.00–8.99) and 6 other elements scored medium impact (MI: 5.00–6.99). The elements of MB that recorded very high influence on prompt MM effectiveness include MB implementation, corruption-free maintenance process, reduction in maintenance expenditure, maintenance financial plan, cost implication of maintained asset, cash flow indexing, prioritisation of maintenance financing, maintenance funding, incorporation of financial indicators and audit of operational maintenance cost.

On a practical note, these elements will guide the built environment professionals in organising maintenance activities to best use limited resources.

Cumulatively, the research presented shows that these elements are similar to those of other countries. Effective MM of buildings is assured when these elements are integral to developing a MB.

The purpose of this paper is to present an approach to start industry–university (I-U) collaboration through a stepped process aimed at building a portfolio of research and development (R&D) projects.

It devises from an 18-month action-research program held between a multinational automotive manufacturer and the a top-ranked Brazilian university.

The three-stage R&D shared portfolio methodology results from a combined application of quality function deployment-like correlation matrices and roadmapping. A first matrix tackles industry interests and correlates product performance dimensions and components to reveal broad research areas of interest. A second matrix correlates research areas and engineering competences, highlighting the types of the required know-how from the university standpoint. Thirdly, academic experts help to fill a roadmap-like layer with possible collaborative R&D deliverables over time.

Since the study lies on a single experience, extensions to other contexts should be made with care. However, the proposal offers robust rationale and a set of supporting tools to nurture new applications.

Theoretical and methodological reflections help managers tackling the long-standing problem of setting a shared R&D agenda.

Literature on I-U collaboration tends or to over-emphasize the role of technology transfer offices in promoting the partnerships or to seek implications for public policy. This research offers a valuable approach to build shared R&D project portfolio from a managerial viewpoint, filling an academic gap and offering guidance for managers in both sides.