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The literature has recognized the key role of the human resource management (HRM) practices for enhancing firms’ innovative performance. At the same time, scholars have consistently demonstrated open innovation (OI) to be an effective approach for boosting companies’ innovative outcome. Nevertheless, academics have largely overlooked to investigate the complex relationship between HRM practices, OI and organizations’ innovativeness, while claiming further research on organizational antecedents on OI. Using the ability, motivation and opportunity (AMO) framework as analytical lens, this study investigates the direct and indirect relationship between AMO-enhancing practices and firms’ innovation capacity, hypothesizing a potential mediating role of OI.

Drawing from the European Company Survey 2019, a large-scale representative dataset of more than 20,000 establishments at European level and building on the “human-side” of OI, the study proposes two hypotheses regarding the relationship between AMO-enhancing practices and OI in fostering product and process innovation in European firms.

The results show that companies that invest in AMO-enhancing practices not only have higher probability to innovate, but also are more inclined to collaborate with external partners. Moreover, OI not only enhances the innovation capacity of the firm but also partially mediates the relationship between HRM and organizations’ innovativeness.

This is one of the first studies which empirically investigate how the AMO framework increases the likelihood of engaging in an OI process by firms, thereby, increasing their innovation capacity. The results shed further lights on both “the human side” of OI, as well as in the mechanisms linking HRM practices with innovation. Moreover, the analysis provides a deeper understanding about the organizational antecedents of the OI process, as well as corroborating the recent theoretical contributions on HRM and OI.

President Bill Clinton has had many opponents and enemies, most of whom come from the political right wing. Clinton supporters contend that these opponents, throughout the Clinton presidency, systematically have sought to undermine this president with the goal of bringing down his presidency and running him out of office; and that they have sought non‐electoral means to remove him from office, including Travelgate, the death of Deputy White House Counsel Vincent Foster, the Filegate controversy, and the Monica Lewinsky matter. This bibliography identifies these and other means by presenting citations about these individuals and organizations that have opposed Clinton. The bibliography is divided into five sections: General; “The conspiracy stream of conspiracy commerce”, a White House‐produced “report” presenting its view of a right‐wing conspiracy against the Clinton presidency; Funding; Conservative organizations; and Publishing/media. Many of the annotations note the links among these key players.

The paper aims to propose an analytical framework for social influence and mathematical formulation for its main components: conformity and peer-pressure. The framework is conceived to explain why certain behaviours and beliefs propagate in a society and some others disappear. It can also be used to study the emergence and the evolution of the status of the norms in terms of their adoption by the population.

The paper is theoretical, making use of economic quantitative methods. The author proposes a new formulation for the evolutionary dynamics, increasingly borrowed by social scientists. Then, mathematically treating the equation, the author draws general conclusions in form of lemmas, which are proved.

The author's main contribution is to show that even behavioural rules and beliefs that emerge in a minority subset of the population, do not procure any benefit for the agents adopting them can under certain conditions, evolve into the consensus of a society, become a norm.

More general conclusion (theorems and lemmas) could be stated and proved. But given that the main contribution of the paper is to the fields of social and behavioural economics, along a number of disciplines less mathematical than economics, the author kept the analysis that required fairy advance mathematics for later.

The paper contributes to the evolutionary game theory, evolution of preferences, and evolution of beliefs and social norms. More precisely, the equation proposed in the paper can be used in the contexts the patterns of heterogeneity in a population are affected or caused by social influence. Or in the contexts, the social institutions are susceptible to affect an agent's sense of identity (e.g. voting, fashion industry, marketing).

In this paper, for the first time, a mathematical formulation is proposed for the social influence and its main psychological components (conformity and status seeking). Using the above, the author proposed a new parametric fitness function for the evolutionary dynamics. The author believes the paper matters to a multidisciplinary public. It answers a question that challenged and puzzled the economists (as well other social scientists): the reasons behind the emergence and the prevalence of social norms do not positively contribute to the utility or payoff of the agents adopting them (and at times they are costly).

This paper investigates both similarities and differences between two global threats represented by climate change (CC) and Covid-19 (CV). This will help understand the reasons behind the recognition of the CV as a pandemic that requires global efforts, whereas efforts to tackle climate change still lack such urgency. This paper aims to answer to the following questions: What are the elements that make CV restrictions acceptable by both the public and policymakers? and What are the elements that make CC restrictions not acceptable?

This paper analyses the situation reports released by the World Health Organisation between the 11th of March (declaration of pandemic) and the 22nd of April, and their associated documents such as the Strategic Preparedness and Response Plan (WHO), the Risk Communication and Community Engagement Action Plan (WHO) and its updated version (WHO) and the Handbook for public health capacity-building (WHO). The analysis ends one week after President Trump’s announcement to suspend US funding to WHO (Fedor and Manson, 2020) and his support to public demonstrations against restrictions.

The application of the second stage of the “Crisis and Emergency Risk Communication” model identifies five lessons that can be learned from this comparison. These relate to the necessity to simultaneously warn (about the severity of a threat) and reassure (by suggesting specific courses of action) the public; the need for multilevel collaboration that integrates collective and individual actions; the capacity to present cohesive messages to the public; the risk of politicisation and commodification of the issue that might undermine global efforts to tackle the threat; and the capacity to trigger individual responses through the promotion of self-efficacy.

This paper identifies both similarities and differences between CC and CV managements to understand why the two threats are perceived and tackled in different ways. The analysis of official documents released by both the World Health Organisation and the Intergovernmental Panel on Climate CV outbreak as a crisis, whereas climate change is still anchored to the status of a future-oriented risk.

There is an urgent need for the construction industry to improve its current performance to increase productivity and satisfy the complex and varying needs of project clients. To be successful, construction companies must innovate. Unfortunately, the extant literature has revealed some inertia towards innovation which in several cases is because of lack of the organisational readiness required to embrace innovation. Various models for assessing organisational readiness are proposed in the literature. Accordingly, the purpose of this paper is to determine the applicability of existing models for assessing the readiness of construction organisations to innovate.

A desk study of the extant literature was conducted to identify perspectives of readiness assessment and, based on a comparative framework, a set of readiness assessment models identified was examined to ascertain their perspectives on organisational readiness assessment.

Five models/tools of organisational readiness assessments were identified and compared based on a set of identified criteria. The comparative analysis revealed that three of the models can be used to assess the readiness of construction organisations to innovate, albeit with varied scopes of modification.

The paper presents an overview of readiness assessment perspectives developed through models that could help organisations in selecting the most appropriate tool to assess their readiness.

The paper uses a comparative framework as a basis for analysing the identified models. It further discusses the strengths and weaknesses inherent in each model noting critical areas of omission.

Customer centricity has evolved into a success factor for many companies, requiring all corporate activities – including business processes – to be aligned with customer needs. With most existing approaches to business process (re-)design focusing on process efficiency, customers are often treated as second-class citizens. Despite emergent research on customer process management, there is a lack of guidance on how to design customer-centric business processes.

The authors conducted a structured literature review and analyzed companies awarded for outstanding customer centricity to compile design heuristics for customer-centric business processes. The authors iteratively validated and refined these heuristics with experts from academia and industry. Finally, the heuristics was grouped according to their expected impact on interaction capabilities to enable their prioritization in specific settings.

The authors proposed 15 expert-approved and literature-backed design heuristics for customer-centric business processes together with real-world examples. The heuristics aim at increasing customer satisfaction with interaction-intensive core processes, which is an important driver of corporate success.

The design heuristics complement existing efficiency-centered (re-)design heuristics. They reflect cognitive shortcuts that support process analysts in the generation of innovative ideas during process (re-)design. The heuristics also add to customer process management and help put customer centricity into practice.

The purpose of this paper is to describe the principles of a conceptual model to help developers and housing users achieve their expectations regarding quality, affordability and reasonable profits. Based on the identification of housing user’s preferences extracted from the survey, data are incorporated into model simulations considering budget restrictions for developers as well as for housing users.

The models’ development was based on fieldwork in Guayaquil, Ecuador, using a method that includes housing users’ preferences. Developed through a “methodological pluralism”, this study identifies people-oriented variables and assumptions. Thus, a more integrated approach is proposed, crossing and covering the fields of different disciplines.

The study concludes with findings regarding the identification of the most preferred attributes of housing users and the proposal of an alternative method to incorporate quality into model simulations for estimating housing market prices. Through optimizations, it is found that the optimal number of housing units per housing types in urban projects, which translates into more reasonable profits for the developers and the provision of better and more affordable houses for the users.

A more complete assessment of the principles described in this paper will require a larger timeframe and location of application.

The identification of the most preferred attributes of housing users and the inclusion in a conceptual simulation model would help private and public developers to provide better and more affordable houses for users as well as to attain reasonable profits. Further, housing national policy could also be influenced by model’s results.

The consideration of housing user’s preferences will entail an improvement of quality of life for social housing projects.

The study’s main original and novel contribution is the development of an approach for the inclusion of housing preferences into model simulations by using quality points and housing demand curves.

This paper aims to emphasize the importance and current deficits of non-financial impact (NFI) assessment of socially responsible investment (SRI) with reference to the action plan of the European Commission (EC) for a greener and cleaner economy.

The importance and current deficits of NFI assessment are evaluated theoretically and condensed to an equilibrated socially responsible investment (ESRI) perspective, based on a narrative literature review of highly ranked academic journals.

Due to a deficient exploration of NFI in theory and practice, the role of SRI funds for sustainability transition has not yet been adequately discussed. This has enabled a situation where a constantly rising market share of SRI has not led to similar sustainability achievements. This strongly contrasts with investors’ expectations, the self-portrayal of the sector and the goals of the EC’s action plan. As a solution, the developed ESRI perspective elevates NFI as a second cornerstone for theory and practice. ESRI, contrary to the EC, sets a primer on the role of SRI fund management for achieving sustainability goals.

This study reveals how SRI theory and practice neglect the importance of NFI. The presented ESRI perspective enables scholars to examine SRI practices more holistically through a new theoretical lens. One special focus is on the role of SRI fund management as a transmission mechanism to push portfolio companies’ business practices toward more sustainable behavior.

The purpose of this paper is to document the results and the impact of the ESRC-funded High Street UK 2020 (HSUK2020), a project designed to take the existing academic knowledge relating to retail and high street change directly to UK High Streets, to improve local decision-making and, ultimately, their vitality and viability.

Through a systematic literature review, and by following the tenets of engaged scholarship, the authors identified 201 factors that influence the vitality and viability of town centres. Through the consensus-building Delphi technique, a panel of 20 retail experts identified the top 25 priorities for action.

Taking a place management approach led to the development of a more strategic framework for regeneration, which consisted of repositioning, reinventing, rebranding and restructuring strategies (4R’s of regeneration). Collaboration with the project towns resulted in identification of the strategy area that would add the most value, and the impact of the 4R’s and the top 25 priorities is demonstrated via numerous town examples.

Knowledge exchange projects, such as High Street UK2020, have an important contribution to make, not by developing even more theory that is unlikely to get utilised, instead their contribution is to bring existing theory into practical use.

In this paper, multi-period location–inventory–routing problem (LIRP) considering different vehicles with various capacities has been investigated for the supply chain of red meat. The purpose of this paper is to reduce variable and fixed costs of transportation and production, holding costs of red meat, costs of meeting livestock needs and refrigerator rents.

The considered supply chain network includes five echelons. Demand considered for each customer is approximated as deterministic using historical data. The modeling is performed on a real case. The presented model is a linear mixed-integer programming model. The considered model is solved using general algebraic modeling system (GAMS) software for data set of the real case.

A real-world case is solved using the proposed method. The obtained results have shown a reduction of 4.20 per cent in final price of red meat. Also, it was observed that if the time periods changed from month to week, the final cost of meat per kilogram would increase by 43.26 per cent.

This paper presents a five-echelon LIRP for the meat supply chain in which vehicles are considered heterogeneous. To evaluate the capability of the presented model, a real case is solved in Iran and its results are compared with the real conditions of a firm, and the rate of improvement is presented. Finally, the impact of the changed time period on the results of the solution is examined.