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A general concept of a structure function is proposed by considering a general order topology, where possible degrees of performance for the system and its components are going to be represented. Finite multistate structure functions and continuum structures can therefore be viewed as particular cases. Gives general definitions of minimal path and minimal cut, allowing general reliability bounds based on them. These are applied to some multivalued structures.

The main objective of this work is to design a statistical multiple regression model that helps to empirically explain the impact of economic incentives, management style, emotional health and research activities on university professors in northern Mexico and their perception of happiness.

In this research, the authors analysed the correlation between happiness perception and four independent variables divided into two dimensions: 1. individual dimensions: emotional health and research activities and 2. organisational dimensions: economic incentives and management styles. A questionnaire was developed, tested and analysed for this matter. The authors applied this instrument to 384 university professors of both genders among 1301 in the region.

Using correlational analysis, the authors confirm a strong and statically significant relationship between all variables. It is also no evidence of multicollinearity. Finally, by applying multiple regression analysis, it was accepted that all independent variables have significance in explaining the emergence of personal happiness (R2 = 42%). Finally, the predictive equation presents possible results with values that confirm the effectiveness of the theoretical model. Results indicate that happiness perception is related to independent variables, with economic incentives being the most vital relationship.

This study's limitations are that the novel perspective of the explanatory variables of economic incentives, emotional health, management style and research activities needs additional confirmatory studies. Therefore, the authors need to perform studies with new explanatory perspectives. Another limitation of the study may be considering a cross-sectional and not a longitudinal model. This study considered it more appropriate to analyse the explanatory variables that influence and are the outcome of happiness perception for the data collected. Finally, it is essential to highlight that this research has been conducted in an underdeveloped country. Thus, it should consider conducting subsequent confirmatory studies in similar settings and other types of economies, such as in a developed country.

This paper explains the relevance of two-dimensional activities in the happiness perception of professors. As other studies mention, productivity is correlated to happiness, and production outcomes could be improved if the schools implement policies to promote this perception. Happiness could be a solid strategy to improve academic outcomes, and the results propose several actions to achieve this goal.

This paper addresses an important activity of professors from a perspective of happiness perception. Thus, putting the professor as the leading relevant agent in schools, the authors propose a multivariate analysis of the outcomes of professors' jobs. Both the schools and the professors have their own goals at their own levels. If policies are created based on persons, in this case, professors, to improve organizational goals, then it might profoundly impact social actions inside the schools.

This paper increases the literature on happiness perception studies and proposes the examination of the relationship between perceived personal happiness and dimensions that influence this perception; these are from two kinds: 1. individual dimensions: emotional health and research activities and 2. organisational dimensions: economic incentives and management styles, which is an original approach and open discussion to further new approaches to this study.

This paper combines the objective information of six mixed-frequency partial-activity indicators with assumptions or beliefs (called priors) regarding the distribution of the parameters that approximate the state of the construction activity cycle. Thus, this paper uses Bayesian inference with Gibbs simulations and the Kalman filter to estimate the parameters of the state-space model, used to design the Imacon.

Unlike other economic sectors of similar importance in aggregate gross domestic product, such as mining and industry, the construction sector lacked a short-term measure that helps to identify its most recent performance.

Indeed, because these priors are susceptible to changes, they provide flexibility to the original Imacon model, allowing for the assessment of risk scenarios and adaption to the greater relative volatility that characterizes the sector's activity.

The classic maximum likelihood method of estimating the monthly construction activity index (Imacon) is rigid to the incorporation of new measures of uncertainty, expectations or different volatility (risks) levels in the state of construction activity. In this context, this paper uses Bayesian inference with 10,000 Gibbs simulations and the Kalman filter to estimate the parameters of the state-space model, used to design the Imacon, inspired by the original works of Mariano and Murasawa (2003) and Kim and Nelson (1998). Thus, this paper consists of a natural extension of the classic method used by Tejada (2006) in the estimation of the old Imacon.

In the existing era, the Internet of Things (IoT) can be considered entirely as a system of embedding intelligence. The transverse character of IoT systems and various components associated with the arrangement of IoT systems have confronted impediments in the form of security and trust. There is a requirement to efficiently secure the IoT environment. The present study recommends a framework for impediments to secure and trustworthy IoT environments.

The present study identifies thirteen potential impediments to secure and trustworthy IoT environment. Further, a framework is developed employing Total Interpretive Structural Model (TISM) and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) approach. The integrated approach is employed as TISM organizes inter-relations among the identified impediments, while MICMAC analysis organizes interpretations related to the driving and dependence power of the impediments.

The results from the study represents that security of IoT from arbitrary attacks is the impediment that has attained the highest driving power. The impediments such as “security of IoT from arbitrary attacks”, “profiling” and “trust and prominence structure” are identified at the top level in the analysis.

The previous studies highlight the facilitating contribution of IoT on various devices but neglect the impediments that can contribute towards a safe and trustworthy IoT environment. Also, the present study has its limitations as it depends upon the experts’ recommendations and suggestions.

The existing framework could be beneficial in constructing policies and suggestions to efficiently cater the impediments to a secure and trustworthy IoT environment.

This study explores the role of international tour operators as the agents assuming the governance and the upgrading of the tourism global value chains (TGVCs), with a special focus on their influence on the development of technological capabilities (TCs) in the hotel industry.

The data used in this article originates from a survey carried out in 2016 on Spanish small and medium-sized hotel companies. An ordinal regression analysis is employed to test the hypotheses proposed in this research.

This study finds that tour operators exert a positive effect on the technological upgrading process in the hotel industry by stimulating small and medium-sized enterprises (SMEs) to invest in TCs. The causal mechanisms through which these effects take place differ across the various stages of the relationship between hotel companies and tour operators.

The results have implications both for hotel management in terms of how hotels take advantage of technological upgrading to become more competitive, and for public administrations in terms of what measures can boost the development of hotel TCs in order to increase their added value.

To date, very few studies have analysed the tourism sector based on the influence on the development of TCs of SME hotels by combining GVC concepts and the resource-based view. It is also the first time that the causal mechanisms are shown to explain such influences.

This paper aims to investigate the extent of intellectual capital disclosure (ICD) through websites and social media in Spanish local government (SLG) and analyze the factors that explain their disclosure.

The study applies content analysis and regression techniques. The ICD is analyzed for Spanish municipalities with more than 100,000 inhabitants and provincial capitals over a period from January 2018 to February 2020.

Findings emphasize that the quantity of disclosed information on intellectual capital (IC) is in the low level, particularly with regard to human capital (HC). Furthermore, the results show that the information provided via social media mainly concerns the relational capital (RC). On the other hand, results obtained indicate that larger municipalities, with lower financial autonomy and whose citizens have a high income level use the online media (both websites and social media) more actively to disclose information about IC. Finally, municipalities led by women and with high level of citizens' education exert a positive influence in the ICD only on websites.

This paper makes a number of key contributions to the existing body of knowledge, focusing on ICD, a neglected area in the public sector accounting literature. It explores and identifies the supply-side and demand-side determinants of information affecting the ICD in local governments. The results of this research could be useful for policymakers, regulators and governments' managers to improve the online information addressing ICD issues.

This paper adopts an innovative perspective by investigating the use of alternative tools for ICD in local government context (websites and social media). To the best of the authors’ knowledge, this is the first study that focuses on investigating the determinants of online ICD in local governments.

The purpose of this paper is to investigate the extent and quality of online intellectual capital (IC) disclosure released via websites and social media in relation to university stakeholders’ information needs in Spanish public universities. In addition, this paper examines whether there are differences in the online IC disclosure according to the type of university.

The study applies content analysis and a survey. The content analysis was used to analyse the websites and social media (Twitter, Facebook, LinkedIn and Instagram) of all Spanish public universities in the year 2019, whereas the survey was submitted to all members of the Social Councils of Spanish public universities.

The findings indicate that university stakeholders attach great importance to online disclosure of specific information about IC. However, the findings emphasise that Spanish universities’ website and social media content are still in their infancy. Specifically, this study found that the quality of disclosed information on IC in public universities’ websites is of low level, particularly with regard to the disclosure of relational capital. The study found that the information provided by Spanish public universities via social media mainly concerns the structural and relational capital. Likewise, the results of this paper evidence that the larger and more internationally focused universities reveal more online information on IC.

The results of the research may be beneficial for managers of higher education institutions as a basis for developing adequate strategies addressing IC disclosure through the websites. In order to satisfy the information needs of university stakeholders, Spanish universities can be recommended to focus on reporting higher-quality information on financial relations, students’ satisfaction, quality standard, work-related knowledge/know-how and collaboration between universities and other organisations such as firms, local government and society as a whole.

This study explores two innovative tools to provide IC disclosure in the higher education institutions context, namely, websites and social media, whereas previous studies focused on traditional tools as annual report. Likewise, this study considers the quality of this information.

This paper seeks to develop a mid-range theory of how change recipient sensemaking processes affect the realization of strategic flexibility during simultaneous change in professional service firms.

The research presented is based on an exploratory embedded case study adopting a qualitative interpretive methodology, conducted at a professional service organization. A sensemaking lens was adopted in order to study organizational change processes. Data was collected through semi-structured open-ended in-depth interviews, and analyzed using first and second order analysis, inspired by the methodology used by Corley and Gioia (2004).

We identified four determinants of change recipient sensemaking: professional identification, dominant organizational discourse, equivocality of expectations, and cross-understanding between thought worlds. Case findings indicate that cognitive and affective dimensions of change recipient sensemaking are strongly interwoven in their effect on realizing strategic flexibility.

We contribute to the competence-based strategic management literature by introducing the concept of change recipient sensemaking in understanding the realization of strategic flexibility; by identifying four major determinants in a context of simultaneous change in a professional service organization; and by highlighting the interwoven and mutually reinforcing cognitive and affective dimensions of professional’s process of constructing meaning.

The analysis intends to clarify whether higher education institutions place as much value on internal transparency as on external transparency. This study aims to analyze the university budgeting process as a reflection of internal transparency. It also aims to identify the weaknesses of the budgeting process regarding transparency in order to improve decision-making.

A case study that applies mixed methods – documentary analysis, observations and interviews – has been conducted. To study internal transparency, the model of three levels of transparency of Biondi and Lapsley (2014) has been applied to the budgeting process of a university. Then, the results have been compared to the external transparency of this institution.

While external transparency is achieved, internal transparency in the budgeting process is far from optimal in the case of study. An improvement in transparency of the budget process can promote the engagement of stakeholders in the process and achieve better governance.

The general inductive approach is not as strong as other approaches in the area of theory or model development. However, it does provide a simple approach for deriving findings linked to this research’s questions.

Trust issues and external accountability appear to be more relevant than internal transparency for universities. However, improving the three levels of transparency along the budgeting process could motivate collegiate members to reinforce accountability, as it requires them to effectively communicate their actions and decisions to their represented.

This paper seeks to situate transparency as an attribute of university governance, contributing to the scarce literature on transparency, internal and external, in the university. The study compares the approach of this university to external transparency – which relates to accountability – with internal transparency – a concept that links to corporate governance. This study uses the novel lens of Biondi and Lapsley model (2014) to study internal transparency, focussing on university budgeting as a key management tool.