Search results

The aim of this article is to highlight the major part played by executives in the escalation of corporate social irresponsibility (CSI). Based on the upper echelons theory, the authors developed a model which shows the essential role of CEOs in explaining CSI. The authors proposed that the key personality traits of CEOs—narcissism—, as well as their power, could explain the degree of CSI.

Due to the significant methodological challenges when investigating CSI, the authors explored a novel method for measuring CSI in order to assess the degree of irresponsible behaviors. The authors build a CSI scale based on the perceptions of key informants, i.e. experts with diverse professional backgrounds. The authors apply CSI scale in a sample of 84 Spanish companies that were involved in CSI.

The results of the authors’ empirical study show the positive and significant influence of CEO narcissism and CEO power on the degree of CSI.

On the one hand, corporate irresponsibility scandals have relevant social consequences and practical implications. On the other hand, narcissism is a natural feature of managers in top positions that is increasing in societies.

The authors’ findings may help CEOs, TMTs and corporate boards to acknowledge potential sources of CSI decreasing its likelihood through counterbalancing CEO's power and considering the dark side of narcissism.

On the one hand, corporate scandals have relevant social and practical implications. On the other hand, narcissism is a natural feature of managers in top positions that is increasing in societies.

In this paper, the authors highlight the role of CEOs characteristics and their firms as the key actors for explaining and understanding the degree of CSI.

本研究擬強調行政主管在加劇企業無社會責任感上所扮演的主要角色。我們根據高層梯隊理論, 開發了一個模型, 來顯示執行長如何在解釋企業無社會責任感上所起的關鍵作用。我們提出一個見解, 就是: 執行長的主要人格特質-自戀和其權力-或許能解釋企業無社會責任感的程度。

由於面對在關於企業無社會責任感的研究法上的重大挑戰, 我們探索了一個估量企業無社會責任感的新穎方法, 以能對企業無社會責任感行為的程度進行評估。我們根據主要的資訊提供者的觀念和看法, 制定了一個企業無社會責任感的等級 (這些主要的資訊提供者均為具有不同專業背景的專家), 我們在84間西班牙公司的樣本裡, 使用了這企業無社會責任感等級, 而這些公司均涉及企業無社會責任感的。

我們這實證研究的結果顯示, 執行長的自戀和其權力, 對企業無社會責任感的程度, 起著正面和顯著的影響。

在本學術論文裡, 我們強調了執行長的特徵和他們的公司, 是瞭解和解釋企業無社會責任感的程度的關鍵行為者。

一方面, 企業無社會責任感的醜聞會帶來相關的社會後果和實務方面的影響;而另一方面, 自戀是高層主管的自然特徵, 而這些特徵, 在我們的社會裡不斷增強。本研究的結果, 或許可幫助執行長、高層管理團隊和公司董事會去承認企業無社會責任感的潛在原因, 並以透過平衡執行長的權力和考慮自戀的陰暗面而減低企業無社會責任感產生的可能。

The purpose of this paper is to carry out a review of the academic literature about corporate social irresponsibility (CSIR) highlighting aspects that help us to define socially irresponsible behaviour and its relationship with socially responsible behaviour.

Through a Boolean search of studies related to terms of irresponsibility undertaken from 1956 to October 2016, the authors develop a review of the literature focussing on the main perspectives used for defining the term of CSIR.

The paper provides a framework of three main dimensions for understanding the differences in the literature that defines CSIR: who defines irresponsible behaviour, an impartial observer or a specific group of stakeholders, whether it is a firm strategy or a punctual action and which is the relationship between corporate social responsibility (CSR) and CSIR, continuity vs orthogonal relationship.

The paper provides and extensive and original review of a key construct, CSIR, and develops some insights about its antecedents and consequences. The authors try to provide light to the contradictory situation where a growing interest in CSR and the increase in voluntary commitments adopted by company leaders incorporating CSR into their strategies are, paradoxically, increasingly associated with CSIR.

The purpose of this paper is to analyze if the sport trajectory could be an impact factor in leadership development.

A qualitative research method has been adopted by conducting 17 in-depth, semi-structured interviews. The data were analyzed with the program Open Code (4.03).

The findings of this study revealed that the interviewed managers perceived that their sport trajectory has had an important influence in the development of their leadership. This influence is determined by four factors: (1) sport profile, (2) sport referents, (3) competences, values and abilities and (4) experiences from different sport roles played during their lifespan.

The research is based on interviews with a small sample of managers. In order to develop the research further, a more extensive sample is required.

The paper is unique as it examines the impact of the sport trajectory as an impact factor in leadership development.

A food tourism destination can fully exploit its competitiveness if food-related attributes are consistently highlighted both in its promotion and in user-generated content. However, in the context of food tourism research, a possible image incongruence has not yet been studied. Tourism destination image incongruence occurs when different travel information sources reflect inconsistent representations of a destination's attributes. This study addresses this gap, focusing on Italian food and wine as drivers to attract visitors. This study examines whether food-related attributes are present in online travel-related conversations and are perceived differently by people with and without knowledge about the destination.

Content analysis based on a Bayesian machine-learning technique utilizing Leximancer software was applied to analyze questions and answers posted on TripAdvisor forums by potential and past visitors of four destinations in Italy (Naples, Florence, Parma and Ferrara). Questions and answers expressed by people with different knowledge in Italian and English were analyzed separately to gain deeper understanding.

Contrary to expectations, food-related themes were almost completely absent in the conversations analyzed, with only a few exceptions in Italian question sections. This situation depicts a sort of “cannibalism”, in the sense that the centrality of food-related attributes is engulfed by other, less sensorial, enjoyable and memorable aspects of the travel experience.

Analysis suggests that hype may exist in food tourism promotion related to destination image incongruence. However, while based on a large volume of conversations, the analysis covers only four Italian cities.

Destination management organizations (DMOs) should develop their strategy and communication considering internal and external elements: their marketing targets on one side and the local culture and attractions' perceptions on the other. Standard marketing processes (segmenting, targeting, positioning) and theories should be put in place. The application of standard marketing dynamics and studies should push the DMOs to understand that the internally perceived cultural values of the touristic destinations could not be known or joint univocally by the global external customers and that a local promotional activity should start with branding and not commercial activities.

This is the first study to suggest the existence of hype in food tourism promotion of Italian destinations and to provide evidence supporting this argument.

Today, education shows an urgent need for transformation to better respond to the complex and interdependent nature of current learning and social challenges we are facing. This chapter is based on the evidence of schools and district initiatives that claim for systemic change with a strong focus on wider interconnection and collaboration between learners, professionals and organizations.

Networks for Change is a programme launched in 2017 by the Barcelona Education Consortium that intends to create professional networks of schools in the city. The programme seeks a deep change in the whole system: to influence how teachers learn from one another to lead a collective transformation of schools, moving towards inclusive, significant and profound learning of all students. To achieve this, the programme articulates 25 territorial networks of schools, spread over the 10 districts in the city of Barcelona, grouping a total of 283 schools (ages 3–18), 1,700 leadership teams and 10,000 teachers. The network sessions are facilitated by one district leader, existing a team of 13 facilitators in the programme. Each school assigns an internal and volunteering leadership team that is responsible to assist to the network meetings, so as to empower internal change processes in schools.

The present study evaluates the impact of the programme on the development of territorial networks, as well as on the changes emerged in school communities. The instruments used combine a quantitative and qualitative approach including a questionnaire for teams of leaders involved in the programme, a questionnaire for teachers from schools and a focus group with programme facilitators of the 25 networks.

The main results show that the Networks for Change programme is already becoming a response to the widely contrasted need to weave sustainable relationships between teachers from different schools in the system at the same time that it is strengthening the collaborative capacities of educational actors in the city’s neighbourhoods and territories. Likewise, and to take a step further in the development of the programme, it is suggested emphasizing the increase of transversality in the networks as cross-sector collaboration, distributing the leadership of the programme through its actors and establishing direct ways for the impact to schools and their transformation. Right now, the network mainly fulfils a function of generating learning among its participants, although the desired horizon is to extend this learning to the entire ecosystem and at the same time generate systemic change in the neighbourhoods in order to enhance and document real impact on learners.

The purpose of this paper is to use demand behavior estimation to find the sources of price variability among resort hotels at different Spanish destinations.

This paper estimates online demand functions during high season for seven four-star resort hotels located at different Spanish destinations. Different price elasticity values are compared, and different factors affecting price elasticity are analyzed.

The main findings indicate that most of the high season periods display elastic demands, but factors such as a central location at a resort, recent refurbishments, the availability of additional facilities/services and a hotel targeted at the couples and/or half-board segments make the demand more inelastic; the Tenerife hotels had the most price-elastic demand; during the closest booking periods to the date of stay, the demand is usually more elastic; and a higher number of local competitors pushes down hotel prices.

This paper highlights the managerial implications of focusing on more profitable demand segments for hoteliers. This is especially useful for the development of revenue management software aimed at improving forecasts.

该论文评估了位于西班牙不同目的地的七家四星级度假酒店在旺季期间的在线需求函数。比较不同的价格弹性值, 分析影响价格弹性的不同因素。

本文的目的是使用需求行为估计来找出西班牙不同目的地度假酒店价格变化的来源。

主要调查结果表明：（1）大多数旺季期间的需求弹性, 但诸如度假村的中心位置、最近的翻新、额外设施/服务的可用性以及针对夫妻和/的酒店等因素或半食宿使需求更加缺乏弹性; (2) 特内里费酒店的价格弹性需求最大; (3) 在离入住日期最近的预订期间, 需求通常更具弹性; (4) 更多的本地竞争者压低了酒店价格。

本论文强调了酒店经营者应关注更有利可图的需求细分市场的管理意义。研究发现对于开发旨在改进预测的收益管理软件特别有价值。

Nowadays, an extra consumption of electric energy in the Colombian houses is generated due to electric or electronic elements plugged into the electric network. This fact produces a cost overrun in the user’s electricity bills. To reduce this extra cost, and also with a plus of reducing greenhouse gas emission, a monitoring system for the consumption of electric energy in a household will be designed and implemented to make electricity users realize how much money and energy is being wasted due to the unnecessary electric elements plugged into the network. This paper aims to show a monitoring system that allows the client to supervise the consumption of some appliances inside his/her home, remotely. It is also considered the HMI to be able to log in, choose the intervals of data and generate reports and graphics. The monitoring system is based on the integration of several technologies that are already used and implemented in houses and buildings, such as: measuring and treatment of data electronically using microcontrollers, Wi-Fi technology and dynamic graphic interface (website).

The methodology consists of several tasks, starting from documentation of the variables, instrumentation and methods for getting to the solution; the first part of the methodology focuses on selecting the electric and/or electronic elements to be monitored, so the instrumentation is able to monitor. Then, the power stage was implemented in this stage to measure signals from the sensors while sensing the electric nodes are adjusted, so does the transmission and reception. In the third stage, the design information system was implemented; this is where the received data from the sensors are stored and managed for further organization and visualization. Activities included the following: Analysis of the model of use cases: Identification of actors and actions that are involved in the system. Server selection: Study of the different server to manage the database. Design of the database: The variables, tables, fields, profiles are determined for managing the information. Connection between sensors and database: Correct data transmission and managing to the database from the sensors. Finally, the system is validated in a rural house for a month.

The monitoring system satisfies the main objective of making a tracing of the behavior of some appliances inside a house, showing graphically the instant current generated while connected, the cumulated energy consumed and the cost in Colombian pesos of the energy consumed so far, in real time.

The monitoring system requires the correct functioning of the sensors connected to each household appliance in the home.

The main approach in the monitoring platform is the real-time measurement of energy consumption by nodes (in each appliance) that allows the user to control the money. The innovative impact of the project will be based on the use of hardware and information systems in the measurement of electrical consumption.

This research has a direct impact on the economic aspects of the low-income population by allowing them to manage their energy consumption through the proposed system.

The main approach in the monitoring platform is the real-time measurement of energy consumption by nodes (in each appliance) that allows the user to control the money.