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This study investigates how cruise corporations, which have shown consistent and high growth rates in recent years, address the Sustainable Development Goal 17 (SDG17) “Partnership for the Goals” to meet the UN 2030 Agenda. This study aims to fill the existent gap in the literature, as also highlighted by practitioners in the First Research Conference on Tourism, through the lens of stakeholder theory.

This study focuses on the analysis of partnerships and collaborative governance of cruise corporations’ endeavours to meet the UN 2030 Agenda. This study is supported by the sustainability disclosure framework and stakeholder theory, based on the dependence of resources and descriptive and instrumental approaches to describe, analyse and map, through multi-stakeholder partnerships, the sustainability initiatives and practices adopted by cruise corporations. A systematic manual content analysis has been developed on sustainability reporting published by corporations.

According to the descriptive and instrumental approaches and the dependence resources construct of the stakeholder theory, this study highlights the typology and nature of partnerships with SDGs, and their strategic role in achieving them, although cruise corporations do not highlight in their sustainability reporting the measures of effectiveness regarding the relationship between single partnerships and targets reached for each SDG.

Recommendations at the managerial level are put forward to support cruise corporations’ initiatives and practices to meet UN 2030 Agenda. This study suggests to governors of corporations the cooperation between the cruise industry and institutions at the local, national and international levels for promoting institutional interventions at the infrastructure and economic level.

This study provides further insights into the under-researched topic of sustainability disclosure within the cruise industry, adopting the lens of stakeholder theory from the partnerships’ perspective. To the best of the authors’ knowledge, this is the first study to adopt the analysis of the SDG practices under the lens of the stakeholder theory, based on the dependence of resources and descriptive and instrumental approaches to identify, map and analyse the multi-stakeholder partnerships as an enabling key to meet UN 2030 Agenda in the cruise industry.

This paper presents NASA’s experience using a Center of Excellence (CoE) to scale and sustain an open innovation program as an effective problem-solving tool and includes strategic management recommendations for other organizations based on lessons learned.

This paper defines four phases of implementing an open innovation program: Learn, Pilot, Scale and Sustain. It provides guidance on the time required for each phase and recommendations for how to utilize a CoE to succeed. Recommendations are based upon the experience of NASA’s Human Health and Performance Directorate, and experience at the Laboratory for Innovation Science at Harvard running hundreds of challenges with research and development organizations.

Lessons learned include the importance of grounding innovation initiatives in the business strategy, assessing the portfolio of work to select problems most amenable to solving via crowdsourcing methodology, framing problems that external parties can solve, thinking strategically about early wins, selecting the right platforms, developing criteria for evaluation, and advancing a culture of innovation. Establishing a CoE provides an effective infrastructure to address both technical and cultural issues.

The NASA experience spanned more than seven years from initial learnings about open innovation concepts to the successful scaling and sustaining of an open innovation program; this paper provides recommendations on how to decrease this timeline to three years.

The purpose of this study is to examine various data sources to identify trends and themes in humanitarian supply chain management (HSCM) in the digital age.

In this study, various data sources such as published literature and social media content from Twitter, LinkedIn, blogs and forums are used to identify trending topics and themes on HSCM using topic modelling.

The study examined 33 published literature and more than 94,000 documents, including tweets and expert opinions, and identified eight themes related to HSCM in the digital age namely “Digital technology enabled global partnerships”, “Digital tech enabled sustainability”, “Digital tech enabled risk reduction for climate changes and uncertainties”, “Digital tech enabled preparedness, response and resilience”, “Digital tech enabled health system enhancement”, “Digital tech enabled food system enhancement”, “Digital tech enabled ethical process and systems” and “Digital tech enabled humanitarian logistics”. The study also proposed a framework of drivers, processes and impacts for each theme and directions for future research.

Previous research has predominantly relied on published literature to identify emerging themes and trends on a particular topic. This study is unique because it examines the ability of social media sources such as blogs, websites, forums and published literature to reveal evolving patterns and trends in HSCM in the digital age.

This paper explores the use of social media (SM) in Human Resource Management (HRM). Building on the configurational approach, the study investigates the existence of different configurations of social e-HRM, their consequences for the organizations and their predictors.

This empirical study draws on a survey administered to HR directors of 176 companies operating in Italy. Two-step cluster analysis, test for variance and logistic regressions were employed for data analysis.

Three social e-HRM configurations emerged – non-use, relational use and extended relational use – which distinguish different goals for using SM in HRM. The three configurations lead to similar outcomes for organizations, even if SM users, in general, enjoy greater success than non-users. Certain structural, strategic and HRM factors are systematically and variously associated with each configuration.

The study is based on cross-sectional research, and thus it is difficult to identify causal links between the variables. The study also relies on data collected in a specific national context, which limits the generalizability of the results.

The study suggests that different and equally effective social e-HRM configurations exist and that their presence is predicted by specific structural, strategic and HRM factors.

The study contributes to an emerging and still scarce literature on types, drivers and outcomes of SM use in HRM.

By drawing on the research paradigm of collective action that occurs in physical space, the present study aims to explore the antecedent predictors of network social mobilization – feeling of injustice – and discuss the emotional mechanism of this prediction: mediating effect of anger and resentment.

Micro-blog postings about network social mobilization were collected to develop the dictionary of codes of fairness, anger and resentment. Then, according to the dictionary, postings on Sina Weibo were coded and analyzed.

The feeling of injustice predicted network social mobilization directly. The predictive value was 27% and 33%, respectively during two analyses. The feeling of injustice also predicted social mobilization indirectly via anger and resentment. In other words, anger and resentment account for the active mechanism in which the feeling of injustice predicts network social mobilization. Mediating effect value was 29.63% and 33.33% respectively.

This study is our first exploration to use python language to collect data from human natural language pointing on micro-blog, a large number of comments of netizen about certain topic were crawled, but a small portion of the comments could be coded into analyzable data, which results in a doubt of the reliability of the study. Therefore, we should put the established model under further testing.

In the cyberspace, this study confirms the mechanism of network social mobilization, expands and enriches the research on social mobilization and deepens the understanding of social mobilization.

This study provides an empirical evidence to understand the network social mobilization, and it gives us the clue to control the process of network social mobilization.

This study uses the Python language to write Web crawlers to obtain microblog data and analyze the microblog content for word segmentation and matching thesaurus. It has certain innovation.

The purpose of this paper is to explore how online adjunct higher education faculty members perceive the role of using social media sites as instructional approaches. A purposeful sampling was used, and adjunct online higher education faculty members were invited to participate. An adjunct faculty member was defined as a person who taught part-time higher education courses; therefore, the faculty member was not hired as a full-time faculty member.

Qualitative researchers explore phenomena examining the lived experiences and participants behaviors; in this study, online adjunct instructors’ perceptions on classroom instructional social media online approaches were examined. Participants in this study were trained to teach higher education online courses and these teachers were the experts on the topic. The design for this study was an exploratory case study in which the participants were online adjunct instructors who taught at online higher education institutions in the Northeast. The case study approach was the most appropriate. The focus was the external events participants’ lives.

Three themes emerged from the analysis of the in-depth interview process. Based on the adjunct online higher education instructors’ perception on the use of social media teaching approaches in the classroom, the themes that emerged were uniformity of purpose vs personal beliefs need for justification importance student engagement and facilitation vs direct instruction. Themes reflected online teaching approaches higher education institutional missions and student learning and engagement outcomes.

In this study, adjuncts’ perceptions expressed and themes found may not be characteristic of other adjunct instructors’ views. In qualitative studies, participants are asked open-ended interview questions, which may have been a limitation for this study. Quantitative questions, such as the impact of using social media as an instructional approach, were not asked. In this study, adjunct online higher education instructors were invited to share their views on the study topic. Additionally, qualitative researchers are limited by the data collection method and the data analysis process. Therefore, researchers who would like to repeat this study on adjunct online higher education teachers’ perspectives may be unable to duplicate the research.

The significance of this study is the need for a renewed global initiative in higher education to promote the use of social media training for online adjunct faculty members. Online higher education faculty members’ reflections on using social media tend to be recorded from a personal rather than a professional point of view.

The implication for online higher education leaders is to review mission statements and reevaluate how the use of social media may impact student learning outcomes, student career readiness and student engagement opportunities.

The need for a renewed global initiative in higher education to promote the use of social media training for online adjunct faculty evolved as the significance of the study. Because inclusion requirements and workshop training for the use of social media in online higher education classrooms vary among higher education institutions, online adjunct faculty social media classroom practices and perceptions widely vary.

This paper aims to develop a theoretical framework for the conceptualization of customer experiential knowledge (CEK) by logically combining its different dimensions into one coherent explanatory concept. Drawing on the integration of the literature on customer experience, customer knowledge management and customer insights acquisition, supported by adequate empirical evidence, the framework provides a systematic, comprehensive and accurate understanding of CEK which, could contribute to the identification of relevant customer experience insights useful for customer knowledge management.

The analysis follows an inductive/deductive interpretative approach and it is based on a netnography of specialty coffee bloggers’ narratives in relation to their sustainability practices.

The paper identifies the following six types of CEK: normative, subcultural, epicurean, transcendental, subcultural and symbolic. Accordingly, CEK is defined as the knowledge tacitly possessed by customers in relation to how they live their consumption experiences according to a body of heterogeneous socio-cultural contextual factors (ethos, norms and symbols) and subjective influences (emotions, ingenuity, instincts and senses) deeply embedded into the narrative of a consumption experience.

While CEK has been largely observed and acknowledged, it has not been yet adequately addressed by existing research. The provision of a conceptual definition of CEK which emphasizes its different dimensions will be of use to both academics and practitioners to better identify and categorize the different manifestations of CEK when undertaking empirical observations or managerial decisions.

This study aims to explore the psychological effects of lockdown during the early stages of the COVID-19 pandemic on people living in an Italian prison. The suspension of family visits and most activities, along with the difficulties in applying social distancing to this vulnerable population was associated with increased psychological distress. Riots broke out over two days in more than 22 prisons across Italy at the beginning of March 2020, highlighting the negative psychological impact of the pandemic and the country’s emergency policies.

The research involves 17 men (Italians and foreigners) detained in a Lombardy prison from 1 March to 4 May 2020, corresponding to the lockdown phase in Italy. The qualitative content analysis (CA) of 27 posts, written by participants during that period and published on the blog “L’Oblò”, were analysed. The analysis allowed the identification of topics and subtopics that are related to two major categories of content: cognitions and emotional connotations about the COVID-19 lockdown in prison.

Analysis showed that blog post content was predominately negative in terms of emotional connotations. The most frequent coded negative emotional connotations were: missing, worry, psychological pain and fear, whilst the most frequent coded positive emotional connotations were: hope and gratitude for the support they received from prison workers. The rest of the blog content was coded as “cognitions”. Cognitions were coded as descriptions of lockdown effect on detention; prison during the COVID-19 emergency; the pandemic situation in general; and comparison between inside and outside prison.

The current study is original as it describes through blog CA the psychological condition of prisoners during the first COVID-19 pandemic lockdown in the most affected region in Italy.

The COVID-19 pandemic has disrupted the ‘real’ world and substantially impacted the virtual world and thus the Internet ecosystem. It has caused a significant exogenous shock that offers a wealth of natural experiments and produced new data about broadband, clouds, and the Internet in times of crisis. In this chapter, we characterise and evaluate the evolving impact of the global COVID-19 crisis on traffic patterns and loads and the impact of those on Internet performance from multiple perspectives. While we place a particular focus on deriving insights into how we can better respond to crises and better plan for the post-COVID-19 ‘new normal’, we analyse the impact on and the responses by different actors of the Internet ecosystem across different jurisdictions. With a focus on the USA and Europe, we examine the responses of both public and private actors, with the latter including content and cloud providers, content delivery networks, and Internet service providers (ISPs). This chapter makes two contributions: first, we derive lessons learned for a future post-COVID-19 world to inform non-networking spheres and policy-making; second, the insights gained assist the networking community in better planning for the future.