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The adoption of enterprise resource planning (ERP) systems is a major challenge to organizations. Many implementation teams struggle to ensure the success of such projects. The information systems literature indicates that the team attributes of breadth of experience, empowerment, and cohesion are necessary conditions for project success. This paper aims to investigate how the nature of implementation teams may affect adoption success.

The research employs a positivist, qualitative field study approach to investigate the role of the implementation team attributes in ERP system adoption. Project success is assessed on three determinants, i.e. support of organizational activities, stakeholder satisfaction, and system acceptance.

The findings provide new insights as to the extent to which prior assumptions from the information systems literature apply in the ERP system implementation context. The results indicate that team empowerment and cohesion are not necessary precursors to project success as their impact depends on the adoption context.

The circumstances under which the impact of low team empowerment and low cohesion can be alleviated in ERP adoption projects are discussed.

The paper offers explanations as to why certain established assumptions regarding information systems teams and project success may not apply to an ERP adoption context.

The purpose of this study is to explore the use of Internet of Things (IoT) in hospitality and examine its relationship with Big Data. Drawing upon theoretical and practical considerations, it lays a foundation for its adoption in practice and future research.

This paper uses a conceptual approach. It demonstrates the use of IoT and its impact on Big Data in hospitality through exemplars. The paper further explores the convergence of IoT, Big Data and hospitality in the context of the literature, value attributes and vendor offerings. Theoretical models from information systems and business are used to support the concepts proposed.

The study compiles and contextualizes the applications of IoT in hospitality by applying an input–process–output model, demonstrating the link to Big Data. The resulting value dimensions are represented by the IoT–Big Data triple impact intensity model.

An outlook toward the future trajectory of IoT adoption is provided by proposing to extend the prevalent social, mobile, analytics and cloud framework with an IoT component.

Practical implications of the use of IoT and Big Data in hospitality on information technology infrastructure, business models, security and standardization highlight the scope for further empirical research.

By synthesizing IoT applications in hospitality and by bringing to light their relationship with Big Data, the study demonstrates how IoT, Big Data and hospitality converge – a synthesis that has thus far been largely unexplored. This study lays the groundwork for increased deployment of IoT and Big Data in hospitality and future academic research in this area.

本论文开发了酒店管理中的物联网（IoT）的使用, 并且检验了其与大数据的关系。根据其理论和实际考虑, 这方面的科技缺乏应用理论基础和未来研究方向。

本论文采用理论讲述的方式, 通过例子来阐述IoT的应用和大数据对于酒店管理的影响。本论文还拓展了IoT、大数据、以及酒店管理在文献范畴、价值属性、以及供应商考量中的认识。本论文借鉴了信息系统和商业管理中的理论模型以支撑提出的理论概念。

本论文综合审视了IoT在酒店管理中的应用, 提出了一个输入-处理-输出的模型, 指出了其与大数据的关联。其相关价值维度通过IoT-大数据三重影响强度模型来显示。

本论文提出了对IoT使用的未来展望, 拓展了著名的SMAC模型（social, mobile, analytics, cloud）, 加入了IoT成分。

本论文对IoT和大数据在酒店IT架构、商业模型、安保和标准化等方面的使用, 强调了其未来应用研究的方向。

本论文通过酒店管理中的IoT应用综述, 以及其与大数据分析的关联, 展示了IoT、大数据、酒店覆盖等概念如何融合, 这方面的研究还未真正被开发。本论文对于酒店领域中的IoT和大数据应用以及相关领域的未来研究, 有着奠基作用。

Book piracy represents a threat to the publishing industry, while for the society, book piracy provides some benefits. The purpose of this study is to examine views of readers, authors and publishers in Lithuania on book piracy’s benefits to society.

This study uses phenomenography to examine readers’, authors’ and publishers’ reflections on book piracy’s potential social benefits. The authors collected research data via semi-structured, face-to-face interviews with 10 participants from each group (readers, authors and publishers – a total of 30 interviews).

Six qualitatively different categories of attitudes were revealed, namely, that book piracy provides easier and more convenient access to books, helps readers save money, pushes readers to read more, helps for authors to gain more popularity, provides wider access to books and provides consumers with moral satisfaction. The similarities between readers’, authors’ and publishers’ views on benefits of book piracy outweigh the differences.

Theoretical background indicates that stakeholders’ explicitly stated attitudes towards book piracy contribute to their book piracy intentions. This study hopes to help publishers in Lithuania confront the challenge of book piracy and develop effective strategies to attenuate a normative framework with four actionable recommendations to help professionals in the publishing industry to better address book piracy.

Book piracy continues to perplex publishers, in part because they lack a clear understanding of the social and psychological underpinnings of book piracy. This study aims to develop such an understanding by filling gap in the literature on book piracy: the lack of work on readers’, authors’ and publishers’ perceptions of book piracy’s individual and social benefits.

Human resource technologies in the hospitality industry are a means by which an organization can gain competitive advantage technologically. The technology-oriented human capital embedded in an organization's human resources is a source of sustainable competitive advantage in an industry that is heavily dependent on people and makes it unique and inimitable. This study uses data collected on 34 different practices to provide a snapshot of current practices in the hospitality sector, which can be used to benchmark individual technology operations against the current norms. The paper aims to discuss these issues.

This paper uses survey data collected from dozens of managers working in the hospitality sector on the level of outsourcing of 34 different HRM practices to provide a snapshot of current practices in the hospitality sector.

Starting with the theoretical predictions of total cost of ownership and transaction cost analysis, multiple regression models are used to test whether or not human resource outsourcing (HRO) technology-related activities in hospitality are associated with negative outcomes, such as higher voluntary turnover of good employees.

This is one of the first articles to explore HRO technology in the hospitality sector and the findings suggest that what an organization outsources matters.

These results can be used by hospitality managers to benchmark their operations against the current HRO technology norms.

It is expected that the type of HR technology-related activities outsourced in hospitality will affect how employees and employers view and react to HRO in hospitality.

Developing cybersecurity awareness (CSA) is becoming a more and more important goal for modern organizations. CSA is a complex sociotechnical system where social, technical and organizational aspects affect each other in an intertwined way. With the goal of providing a holistic representation of CSA, this paper aims to develop a taxonomy of factors that contribute to organizational CSA.

The research used a design science approach including a literature review and practitioner interviews. A taxonomy was drafted based on 71 previous research publications. It was then updated and refined in two iterations of interviews with domain experts.

The result of this research is a taxonomy which outline six domains for importance for organization CSA. Each domain includes several activities which can be undertaken to increase CSA within an organization. As such, it provides a holistic overview of the CSA field.

Organizations can adopt the taxonomy to create a roadmap for internal CSA practices. For example, an organization could assess how well it performs in the six main themes and use the subthemes as inspiration when deciding on CSA activities.

The output of this research provides an overview of CSA based on information extracted from existing literature and then reviewed by practitioners. It also outlines how different aspects of CSA are interdependent on each other.

With shorter product cycles and a growing number of knowledge-intensive business processes, time consumption is a highly relevant target factor in measuring the performance of contemporary business processes. This research aims to extend prior research on the effects of knowledge transfer velocity at the individual level by considering the effect of complexity, stickiness, competencies, and further demographic factors on knowledge-intensive business processes at the conversion-specific levels.

We empirically assess the impact of situation-dependent knowledge transfer velocities on time consumption in teams and individuals. Further, we issue the demographic effect on this relationship. We study a sample of 178 experiments of project teams and individuals applying ordinary least squares (OLS) for regression analysis-based modeling.

The authors find that time consumed at knowledge transfers is negatively associated with the complexity of tasks. Moreover, competence among team members has a complementary effect on this relationship and stickiness retards knowledge transfers. Thus, while demographic factors urgently need to be considered for effective and speedy knowledge transfers, these influencing factors should be addressed on a conversion-specific basis so that some tasks are realized in teams best while others are not. Guidelines and interventions are derived to identify best task realization variants, so that process performance is improved by a new kind of process improvement method.

This study establishes empirically the importance of conversion-specific influence factors and demographic factors as drivers of high knowledge transfer velocities in teams and among individuals. The contribution connects the field of knowledge management to important streams in the wider business literature: process improvement, management of knowledge resources, design of information systems, etc. Whereas the model is highly bound to the experiment tasks, it has high explanatory power and high generalizability to other contexts.

Team managers should take care to allow the optimal knowledge transfer situation within the team. This is particularly important when knowledge sharing is central, e.g. in product development and consulting processes. If this is not possible, interventions should be applied to the individual knowledge transfer situation to improve knowledge transfers among team members.

Faster and more effective knowledge transfers improve the performance of both commercial and non-commercial organizations. As nowadays, the individual is faced with time pressure to finalize tasks, the deliberated increase of knowledge transfer velocity is a core capability to realize this goal. Quantitative knowledge transfer models result in more reliable predictions about the duration of knowledge transfers. These allow the target-oriented modification of knowledge transfer situations so that processes speed up, private firms are more competitive and public services are faster to citizens.

Time consumption is an increasingly relevant factor in contemporary business but so far not been explored in experiments at all. This study extends current knowledge by considering quantitative effects on knowledge velocity and improved knowledge transfers.

The purpose of this study is to identify, analyze and explain the ethical implications that can result from the datafication of service.

This study uses a midrange theorizing approach to integrate currently disconnected perspectives on technology-enabled service, data-driven business models, data ethics and business ethics to introduce a novel analytical framework centered on data-driven business models as the general metatheoretical unit of analysis. The authors then contextualize the framework using data-intensive insurance services.

The resulting midrange theory offers new insights into how using machine learning, AI and big data sets can lead to unethical implications. Centered around 13 ethical challenges, this work outlines how data-driven business models redefine the value network, alter the roles of individual actors as cocreators of value, lead to the emergence of new data-driven value propositions, as well as novel revenue and cost models.

Future research based on the framework can help guide practitioners to implement and use advanced analytics more effectively and ethically.

At a time when future technological developments related to AI, machine learning or other forms of advanced data analytics are unpredictable, this study instigates a critical and timely discourse within the service research community about the ethical implications that can arise from the datafication of service by introducing much-needed theory and terminology.

Business model (BM) canvases have been used in educational institutions and business incubators for over a decade to assist students and start-up entrepreneurs in developing their business projects. Given the urgency of tackling sustainability challenges, several tools have emerged to stimulate sustainable business modeling (SBM). However, these tools are often too complex for nonexperts in business modeling or sustainability, and thus insufficiently user-friendly for educational contexts. This study aims to address this pedagogical gap by describing the design process of the responsible business model canvas (RBMC).

The authors relied on a design science research methodology involving the active participation of end users, entrepreneurship educators, business coaches and external partners. The authors proposed four criteria and ten subcriteria to analyze existing SBM canvases based on their user-friendliness and to design the initial prototype of the RBMC. The RBMC was subsequently tested in various settings, including classroom assignments and business incubation programs, with over 1,000 university students. The tool was refined and assessed throughout the development process, incorporating feedback from focus groups with start-up entrepreneurs.

Through the development process, the authors created a user-friendly tool to help novice student and start-up entrepreneurs integrate sustainability into their BMs: the RBMC. The canvas consists of 14 building blocks grouped into four areas: consistency (mission, vision, values), desirability (value propositions, customer segments, users and beneficiaries, customer relationships and channels), feasibility (key activities, key resources, key partners and stakeholders and governance) and viability (cost structure, revenues streams, negative impacts and positive impacts).

The research methods and user-friendliness criteria in this study can be applied in other contexts to design tools to support sustainable entrepreneurship education. While the RBMC is currently being used in several educational institutions throughout the world, its impacts in different pedagogical and cultural settings require further validation.

The RBMC is a user-friendly tool to introduce students and start-up entrepreneurs to SBM. It helps raise users’ awareness about sustainability concerns, challenging them to consider issues they might have otherwise overlooked. Some participants even shifted their outlook and were motivated to develop a long-term vision integrating compensatory, mitigative or corrective actions into their BMs.

The RBMC is the outcome of a balanced approach that combines both pragmatic (i.e. user-friendliness) and normative (i.e. sustainability) perspectives. It provides users with a systematic approach for integrating and applying sustainability issues in their business projects.

Cause-related marketing (CrM) is one of the effective marketing concepts which draw high public exposure and make the cause and the organization known in the market. Further, it develops a higher inclination of the customers associating themselves with CrM-related campaigns. In this regard, CrM campaigns generally take hedonic products into consideration. The purpose of this paper (comprises two studies) is to: study 1, examine the attributes leading to successful CrM campaign and afterward when the results of Study 1 were found in line with the existing literature; and, Study 2, empirically examine the consumer preference for hedo-utilitarian products type in the CrM context.

A total of 316 respondents participated in the survey. For selecting the appropriate research technique under the CrM study, the systematic review was conducted to arrive at a decision. Finally, conjoint analysis, a decompositional approach, was used for its ability to provide real-world setup to the respondents and keeping the social desirability bias at the minimum while assessing the consumer preference in the context of CrM.

Much literature is available in favor of using hedonic products for successful CrM activities. However, none has conceptualized the hedo-utilitarian products that have an equally fair chance to succeed under CrM strategy. The present study confirmed the relevance of hedo-utilitarian products (utilitarian products having hedonic features) for attracting the consumers having cognitive and affective responses altogether.

The novel concept of hedo-utilitarian product is introduced and empirically examined. The propositions and findings will facilitate the organizations in developing the products and marketing strategies in the context of CrM, giving them the option beyond the two product categories, i.e. hedonic and utilitarian. Accordingly, the companies may also focus and strategize for the “causmers,” i.e. the consumers who pay heed to the cause of the campaign during the purchase.

While several of the dimensions in marketing have been explored, CrM is the least explored area in the Asian region. The attributes that may affect CrM were taken all together as another product feature/attribute under conjoint analysis exploring the attributes affecting CrM most, eventually, leading to higher consumer preference. Further, the concept of hedo-utilitarian products was introduced, empirically examined and recommended to future researchers for bringing it forward.