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With the rapid development of cloud computing, most software firms face the significant choice of whether they should change the versioning strategy of enterprise software from releasing the on-premise version to the software-as-a-service (SaaS) version. Data being generated and hosted on SaaS vendors' servers brings multiple effects. It enables customers to enjoy the flexibility of accessing data and using the software remotely, named the “portability” effect. However, on the other hand, the cumulative data resources on the cloud also provide a clear target for external attacks, leading to the concern of information security. Considering these, the authors hope to offer insights for software firms by exploring the strategy selection problem.

Taking the portability effect and security risks of the SaaS licensing model into account, the authors develop a two-period model to figure out the market segmentation and identify the feasible conditions for employing three alternative strategies. Comparative statics analyses are conducted to explore the influencing mechanism of exogenous factors on strategy selection. The authors also discuss the strategy selection in the presence of the network effect and the security loss faced by users of on-premise software.

One significant finding is that the on-premise strategy can be excluded when the potential loss from security risks is small. Under this circumstance, the dual version strategy is optimal provided that the increase of customer valuation caused by portability effect is below a threshold. Otherwise, the SaaS strategy generates the highest profit. When the potential loss from security risks turns large, the on-premise strategy, the dual version strategy and the SaaS strategy are the optimal options in order as the portability effect on customer valuation gets stronger.

Previous literature has insufficiently addressed the versioning issue of enterprise software. In this paper, the distinctive features of the SaaS model are considered, and differentiated results compared with previous work are obtained. The research results provide guidelines for software firms in deciding their product releases in the future.

An experiential retailing strategy is considered cardiotonic for consumers and brands. When such a stimulus is used, what cognition and behaviors are generated is an issue worthy of study. Therefore, the purpose of this study is to explore the factors and mechanisms that affect consumer response and relationship quality through empirical research.

Based on theoretical deduction, this paper proposes a conceptual model that includes four antecedents: experiential scene atmosphere (ESA), highlight design, interaction approach and value fit. These affect consumer–brand relationship quality (CRQ) through consumer identification (CI), brand identity (BI) and experiential immersion degree. In two rounds of predictive tests, 624 and 481 valid data were collected, respectively, and the feasibility of the scale was verified scrupulously. Furthermore, 427 participants reported the participants' tendencies in a formal empirical study.

The results show that the direct effects of antecedents, mediators and dependent variables are significant. Although the mediating effect of BI in experiential highlighting design on CRQ is not supported, other consumer response variables have a full or partial mediating effect.

This study not only functions as an innovation of research perspective enriching the theoretical framework of the influence mechanism of experiential retailing, but also strengthens the discussion on the role of value fit, especially emotional value fit, in experiential retailing.

Customer value co-creation in robots-mediated hospitality encounters involves active collaboration between customers and robots. In such encounters, robot capabilities, which are their functionalities or operational competences, and robot personalities, which are their interactive behaviors and communication styles, play a key role in enhancing customer value co-creation. The purpose of this study is to draw on service dominant logic to examine the role of robot capabilities and personalities in determining customer value co-creation and service satisfaction.

The authors adopted a mixed-methods research approach. A netnographic analysis was conducted on online customer reviews for robotic hotels and restaurants to identify key robot capabilities that shaped the customer experiences. Following this, a quantitative study (survey) was conducted to investigate the effects of robot capabilities and personalities on customer value co-creation and service satisfaction.

From the netnographic analysis, the authors identified cognitive, technical, interactional, emotional, personalization and autonomous capabilities as key robot capabilities influencing customer experiences. The findings of the follow-up empirical study showed that the higher-order robot capabilities construct positively influences customer value co-creation, which, in turn, affects service satisfaction. Furthermore, extroversion robot personality positively moderates this relationship, such that robots with high levels of capabilities result in greater value co-creation when robots possess extroversion personalities compared to introversion personalities.

This study advances the understanding of robot-mediated encounters by emphasizing the role of robot capabilities and personalities as crucial factors for effective customer value co-creation in the hospitality sector. Furthermore, it offers actionable insights for hospitality providers in selection of robots with key capabilities and personalities for enhancing customer satisfaction and successful value co-creation.

While previous research has predominantly focused on customer acceptance of and interaction with robots in the hospitality settings, the present study examined how and when service robots facilitate value co-creation with customers. Specifically, this study explores robot capabilities and personalities in shaping customer value co-creation perceptions. A few recent studies that examined customer-robot interactions have considered specific robot capabilities. However, given that hospitality services are experiential in nature and involve various tasks, a broad range of robot capabilities should be considered for a comprehensive understanding of the customer value co-creation process. By addressing this gap, the present study offers novel insights into what (capabilities) and how (extraversion personality) service robots facilitate customers in value co-creation and satisfaction.

The speed of new product development (NPD) has been a key factor in a firm's degree of competitiveness. The tools and philosophy of quality management have been widely used to improve and control product quality. However, there is a lack of literature on the relationship between quality management and NPD. This paper aims to report on a study that investigates the influence of quality management on the speed of NPD.

The philosophy of quality management refers to total quality management (TQM). Tools for quality management include teamwork, continuous improvement (CI), value analysis (VA) and quality function deployment (QFD). This study begins by comparing literature in concurrent engineering (CE) and TQM, which leads to several common principles and five hypotheses. The hypotheses are tested using survey data from 700 manufacturing companies in 20 countries.

The research reveals that TQM, Team, VA and QFD are positively correlated with the speed of NPD, meaning that the tools and philosophy of quality management have a positive influence on the speed of NPD. However, no relationship is found between CI and the speed of NPD.

This paper tests hypotheses using survey data. It reveals the empirical relationship between quality management and the speed of NPD but does not provide details regarding the mechanism of influence between the two. Consequently, case studies should be conducted in the future to probe into the details. Additionally, new quality methods like Six Sigma can also be included in a future study, since Six Sigma covers both quality and NPD.

This study proposes that companies that have implemented TQM and other quality management tools will have a better foundation for implementing new NPD approaches like CE and design for manufacturing and assembly. This is especially encouraging for those original engineering manufacturing (OEM) firms that would like to change from OEM to original design manufacturing/original brand manufacturing (ODM/OBM). OEM companies typically implement TQM but invest very little in NPD.

This paper fills the gap in research exploring the links between quality management and NPD. It addresses the concern over whether quality management may hinder NPD. The critical issues for implementing quality management such as culture change, learning, change management, and team building can all be applied to implementing NPD methods such as CE. The result also supports the concept of “design the quality into products”. It is beneficial for employees in quality and NPD to share and work together.

The Public–Private Partnership (PPP) modality plays an important role in the procurement of global infrastructure projects. Regarding PPP's complex transaction structure, pricing of a PPP project is critical to both parties where the government pursues a high value for money (VFM) and the investor strives to maximize its financial gains. Despite the straightforward win–win principle, a formidable compromise is often the case to end up with a fairly acceptable price, subject to many determinants such as the risk profile, expected return, technological innovation and capacities of both parties. Among them, this study chooses to examine the “managing flexibility” (MF) capacity of investors in pricing of a PPP project, in light of the widely recognized importance of a real-option perspective toward the long term, complex and uncertain PPP arrangement. This study addresses two major questions: (1) how is MF in PPP projects to be valued and (2) how are PPP projects to be priced when considering a project's MF value.

A binomial tree model is used to evaluate the MF value in PPP projects. Based on the developed MF pricing model, net present value (NPV) and adjusted VFM value are then calculated. Finally, a multi-objective decision-making method (MODM) was adopted to determine the optimal level of returns based on invested capital (ROIC), return on operation maintenance (ROOM) and concession period.

The applicability and functionality of the proposed model is investigated using a real project case. For a given return, extended NPV and adjusted VFM value were calculated and analyzed using sensitivity analysis. Factor influence is shown by the model to be dependent on factor impact on cash flow. Subsequently, a multi-objective decision-making (MODM) model was adopted to determine the optimal level of returns, where the solution approximates the real-world bidding price. Results confirm that the pricing model provides a reliable and practical PPP proposal pricing tool.

This study proposes an integrated framework for valuing MF in PPP projects and thus more accurately determine optimal pricing of PPP projects than revealed in extant research. The model offers a practical tool to aid in the valuation of PPP projects.

The purpose of this paper is to investigate manufacturer encroachment and distributor encroachment in a three-echelon supply chain consisting of an upside manufacturer, an intermediate distributor and a downside retailer.

In this paper, the authors use the optimization theory to mathematize the proposed question and build a model. First, the authors consider sequential quantity decisions, where the encroacher decides on the direct selling quantity after determining the retailer's order quantity. Second, the authors relax this sequential decision process assumption by reconsidering a circumstance in which quantity decisions are decided simultaneously.

In contrast to previous studies, this study shows that in three-echelon supply chains, the upside firm is more likely to encroach compared with the downside firm. The “bright side” of encroachment exists for all players only when the encroachment cost is at a moderate level. However, in manufacturer encroachment under simultaneous quantity decisions, the “bright side” skips the distributor but benefits the retailer directly as the encroachment cost increases from zero to a certain level. The main reason lies in that the distributor loses its pricing power because the end-market has been disturbed by the simultaneous quantity decisions. A comparison of the results of sequential and simultaneous quantity decisions reveals the merit of simultaneous quantity decisions. The authors find that the intermediate role (the distributor in our model) in three-echelon supply chains may benefit more from simultaneous quantity decisions. That is, the distributor may achieve a better profit even in a market with intensified competition.

The findings of this paper contribute to the marketing science literature on encroachment. The majority of existing literature has focused on manufacturer encroachment in two-echelon supply chains. This paper innovatively investigates and compares manufacturer encroachment and distributor encroachment in a three-echelon supply chain.

Many academic studies in international business empirically test the determinants of Chinese outward (O)FDI. A weakness with these studies is the limited critical evaluation given to the way in which Chinese OFDI data is collected and used. Chinese multinational enterprises (C)MNEs frequently establish special purpose entities in tax havens to transit FDI via intermediary jurisdictions. The purpose of this paper is to develop an alternative approach for measuring CMNE OFDI and subsequently explore how the results of previous studies may have been confounded use of tax havens by MNEs. The authors address the latter question by replicating widely cited quantitative studies.

Replication approach.

Through the replication of several studies, this paper finds high levels of discrepancies in general sign and significance between global ultimate ownership modeling results and those using officially recorded FDI data. More specifically, the main areas impacted by using official data rather than data which accounts for the use of tax havens are cultural proximity, geographic distance and natural resource seeking.

This paper looks at studies, which use official FDI data to understand CMNE behavior. It is important to note, however, that there are many hundreds, if not thousands, of studies that use other national-level FDI data to draw similar types of inferences about MNE activity. In this sense, the authors’ critical evaluation of CMNE work holds a much broader and, arguably, more important question: How reliable, in general, are studies, which use officially recorded FDI data? The results from this paper have already caused reflection on the impact of tax haven use on official FDI collection organizations, such as the OECD.

The social implications of companies using tax havens to route FDI is immense. The use of tax havens not only aids in tax minimization for companies, but also obscures the true providence and identity of companies. This is problematic in a society, which increasingly desires to understand where, how and by whom a product or service was created prior to consumption.

This paper argues that the tendency for Chinese MNEs to establish offshore holding companies in tax havens has given rise to significant biases in official FDI statistics. Through the use of global ultimate ownership data, the authors have put forward an alternate approach to measure genuine CMNEs’ OFDI activity, one which confronts and deals with their pervasive engagement with tax havens. Through the replication of several Chinese OFDI location choice studies, it was possible to understand how methodological issues stemming from the use of official FDI data may influence prior econometric results. In doing so, the authors hope to have sparked a debate which may lead to a re-evaluation of earlier received wisdom regarding Chinese MNE investment strategy and behaviors. This in turn should foster improved theorizing regarding the Chinese MNE and its outward investment activities.

This study aims to examine the role of message appeals (concrete vs abstract) posted by greenfluencers in determining their behavioral intention toward the sponsored sustainable product. This study examined the underlying mechanism of message authenticity and product sustainability image in this relationship. This study also investigated the boundary condition of product type (utilitarian vs hedonic) in the effect of sustainability message appeal on purchase intention.

Four studies were carried out. One field experiment on Facebook and three scenario-based online experiments were conducted to test the proposed relationships.

This study found that a concrete message appeal results in a higher purchase intention of the promoted product than an abstract message appeal. This effect is a result of message authenticity and product sustainability image. Furthermore, product type moderates the impact of message appeal on behavioral intention via message authenticity and product sustainability image.

This study contributes to the literature on influencer marketing, sustainability communication and the persuasion process.

This study’s findings provide insights for greenfluencers and firms that leverage greenfluencers to promote their sustainable products on social media. Specifically, it lays out how the sustainability message should be framed to be persuasive.

This study findings offer novel insights for greenfluencers and firms in developing effective message strategies to promote sustainable products on social media.

Spherical robot plays an essential role in the field of mobile robot because of its unique shape and omni-directional mobility, especially in the application of planet detection. Although spherical robot has many advantages over leg robot, its obstacle climbing performance is still not satisfactory, that is exactly the motivation of this paper. The purpose of this paper is to propose a high-performance hopping mechanism for spherical robot, which can adapt to different terrain and effectively cross obstacles.

The hopping system uses torque spring as part of the energy storage mechanism, and converts the kinetic energy of rotation into elastic potential energy with a particularly designed turntable. Moreover, the track of the turntable, based on the Archimedes spiral principle, has the attributes of equidistance and equivelocity that enable better stability of energy storage process.

Experiments show that the proposed hopping mechanism can make a 250 g spherical robot jump up to 58 cm with the take-off angle of 60°. Finally, the influence of friction and take-off angle on the hopping height and distance of the robot is also analyzed, which provides a prior guidance for optimizing its jumping process.

This paper shows how to easily design a lightweight, compact and embedded spring hopping structure so that a spherical hopping robot with detection ability can be developed.