Designing for mobile value co-creation—the case of travel counselling

This paper focuses on the development of a mobile service as extension of travel agencies’ sales channels, fundamentally driven by the notion of value co-creation. Design goals are directly linked to the understanding of travel counselling as practical value co-creation and to the concern to progress this understanding throughout the travel customer cycle. Customers as well as travel agencies benefit from a mobile service rooted in value co-creation. Mobile service applications which target a service provision which furthermore is in line with the core competency of a travel agency (advice-giving and continuously accompany the customer) are scarce. Taking this as a starting point, we propose a mobile service and system design which provides a travel customer with continuing support on the trip, suitable to complement a lively, ongoing customer-firm interaction which enables the co-creation of value, ultimately targeting increased customer retention and loyalty.     

Bridges and barriers to hardware-dependent software ecosystem participation – A case study

BackgroundSoftware ecosystems emerged as means for several actors to jointly provide more value to the market than any of them can do on its own. Recently, software ecosystems are more often used to support the development of hardware-dependent solutions.ObjectivesThis work aims at studying barriers and bridges to participation in an ecosystem with substantial hardware dependencies.MethodWe conducted an interview-based case study of an ecosystem around Axis’ network video surveillance systems, interviewing 10 internal experts and 8 external representatives of 6 companies, complemented by document studies at Axis.ResultsMajor bridges to the ecosystem include end customer demands, open and transparent communication and relationship, as well as internal and external standardizations. Barriers include the two-tier business model, entry barriers and execution performance issues. Approximately half of the identified bridges and barriers could be considered hardware-dependent ecosystems specific.ConclusionOur results suggest that ecosystem leaders should share their sales channels with the ecosystem participants and focus on good communication and relationships as the dominant factors for the ecosystem participation. Moreover, we report that internal and external standardization can play a dual role, not only ease the development but also enable additional sales channels and new opportunities for the ecosystem participants. At the same time, the business model selected by the ecosystem leaders and performance, are identified as the main barriers to ecosystem participation. We believe that the business model barrier may be much more important for similar hardware-dependent software ecosystems.     

The relationship between online game playing motivation and selection of online game characters – the case of Taiwan

The alarming growth rate in the online game industry calls for a need of understanding the determinants of online gamers’ behaviour. Investigating how online gamers choose different online characters assists online game vendors to design characters that match the needs of different online gamers. Recently, numerous online game designers have introduced celebrity figures as characters for certain online games. The popularity of those celebrities has resulted in greater awareness of these games, and hopefully further increases the playability of online games. While different online gamers are motivated by different desires for playing, it is insufficiently researched whether these online celebrity characters have actually altered players’ choice in giving preference to these games. Thus, this study conducts an experimental design to study the reasons behind players’ choice of characters by studying how online games perceive the interpersonal attractiveness of celebrity online characters, and how online gamers with different playing motivations display different behaviours in their choice of online game characters. Results from the survey filled out by participants after the experiments show that the attractiveness of celebrity online characters is significantly higher than that of non-celebrity characters. Further, online game players with a social playing motivation tend to choose celebrities as their online game characters.     

A case study of applying data mining techniques in an outfitter’s customer value analysis

This study applies K-means method, fuzzy c-means clustering method and bagged clustering algorithm to the analysis of customer value for an outfitter in Taipei, Taiwan. These three techniques bear similar philosophy for data classification. Thus, it would be of interest to know which clustering technique performs best in a real world case of evaluating customer value. Using cluster quality assessment, this study concludes that bagged clustering algorithm outperforms the other two methods. To conclude the analyses, this study also suggests marketing strategies for each cluster based on the results generated by bagged clustering technique.     

A spatial system dynamic model for regional desertification simulation – A case study of Ordos,China

A spatial system dynamic (SSD) model for simulating desertification was developed by integrating climate, soil water, population, economy, pasturage, and land use. Net Primary Production (NPP) was selected as an intermediate variable to measure the impacts of driving forces and desertification grades. Ordos in China was selected to test the model. Ten scenarios were designed to simulate desertification dynamics in Ordos from 2011 to 2030. The results showed that the SSD model was reliable, and the overall accuracy of desertification degree was approximately 83%. Climate factors had relatively higher sensitivities than other parameters. Although humid climate and sustainable development strategy would reduce desertified land area and desertification degree before 2025, the rapid increase in pasturage pressure would offset this trend. Arid climate and unsustainable development strategy would accelerate desertification expansion. For local government, it is necessary to persist in the present desertification prevention policy and completely banned grazing after 2025.     

Performance evaluation of an intelligent video surveillance system – A case study

Intelligent video surveillance (IVS) technology is on the cusp of moving from early adopters to general acceptance in several markets such as security and business intelligence. This transition has been made possible by embedding computer vision technologies directly into video devices such as cameras, encoders, routers, DVRs, NVRs, and other video management and storage hardware. For this technology to be successful, it is crucial that IVS systems can be deployed easily, without requiring computer vision expertise to customize them for every installation; and that the systems work robustly in a wide range of environments. One of the key enablers to achieve this goal is proper testing. This paper discusses some of the major challenges involved and provides a case study for addressing the problem. One of the key concepts is utilizing fuzzy evaluation to handle boundary conditions.     

Predicting airline customers’ recommendations using qualitative and quantitative contents of online reviews

Customers generally give ratings and reviews for different services that they get online or offline. These reviews and ratings aspects are effectively helpful to both the company and customers to receive feedback and make the right decisions, respectively. However, the number of reviews and ratings can increase exponentially, bringing a new challenge for the company to manage and track. Under these circumstances, it will also be hard for the customer to make the right decision. In this work, we summarize text reviews and ratings given by passengers for different airlines. The objective of this research is to predict whether the recommendation made by the customer is positive or negative. Two types of features, namely, textual feature and explicit ratings, are extracted from the dataset and other attributes. We found the relationship between such sentiments and feelings expressed in online reviews and predictive consumer recommendation decisions. We have considered quantitative content with qualitative content of online reviews in predicting recommendation decisions, which shows the work’s novelty. Additionally, the obtained results yield an essential contribution to the existing literature in terms of service evaluation, making managerial policies, and predictive consumer recommendations, etc. Moreover, we hope that this work would be helpful for practitioners who wish to utilize the technique to make the quick and essential hidden information by combining textual reviews and various service aspects ratings.

     

Correlating mobile phone usage and travel behavior – A case study of Harbin,China

Information and communication technologies (ICTs), such as mobile phones and the Internet, are increasingly pervasive in modern society. These technologies provide new resources for spatio-temporal data mining and geographic knowledge discovery. Since the development of ICTs also impacts physical movement of individuals in societies, much of the existing research has focused on examining the correlation between ICT and human mobility. In this paper, we aim to provide a deeper understanding of how usage of mobile phones correlates with individual travel behavior by exploring the correlation between mobile phone call frequencies and three indicators of travel behavior: (1) radius, (2) eccentricity, and (3) entropy. The methodology is applied to a large dataset from Harbin city in China. The statistical analysis indicates a significant correlation between mobile phone usage and all of the three indicators. In addition, we examine and demonstrate how explanatory factors, such as age, gender, social temporal orders and characteristics of the built environment, impact the relationship between mobile phone usage and individual activity behavior.     

Understanding online customer repurchasing intention and the mediating role of trust – an empirical investigation in two developed countries

Although e-commerce adoption and customers’ initial purchasing behavior have been well studied in the literature, repeat purchase intention and its antecedents remain understudied. This study proposes a model to understand the extent to which trust mediates the effects of vendor-specific factors on customers’ intention to repurchase from an online vendor. The model was tested and validated in two different country settings. We found that trust fully mediates the relationships between perceived reputation, perceived capability of order fulfillment, and repurchasing intention, and partially mediates the relationship between perceived website quality and repurchasing intention in both countries. Moreover, multi-group analysis reveals no significant between-country differences of the model with regards to the antecedents and outcomes of trust, except the effect of reputation on trust. Academic and practical implications and future research are discussed.     

Understanding online regret experience in Facebook use – Effects of brand participation,accessibility & problematic use

The past few years have witnessed the emergence of research examining online regret experience. The presence of online regret generates negative use experience and even leads to service switching and discontinuity. However, to date, only limited research has examined the conceptualization of this new yet very important phenomenon in the field of technology use. To address this research gap, the present study has examined the relative influence of SNS brand participation, technology accessibility attributes (including Facebook usage parameters) and problematic Facebook use in predicting regret experience regarding Facebook use. A pen-and-paper cross-sectional survey was administered to 804 adolescent Facebook users (aged 13–18 years). The study results suggest that adolescent users with varying technology accessibility did not differ in their online regret experience, but excessive Facebook users and those actively participating in brand communities tended to experience higher regret. Other findings suggest that two variables, namely parents’ perceptions of problematic Facebook use and conflict with friends due to Facebook use, were significant predictors of online regret experience. This study presents different theoretical and practical implications for both research and practice.     

SWATShare – A web platform for collaborative research and education through online sharing,simulation and visualization of SWAT models

Hydrologic models for a particular watershed or a region are created for addressing a specific research or management problem, and most of the models do not get reused after the project is completed. Similarly, multiple models may exist for a particular geographic location from different researchers or organizations. To avoid the duplication of efforts, and enable model reuse and enhancement through collaborative efforts, a prototype cyberinfrastructure, called SWATShare, is developed for sharing, execution and visualization of Soil and Water Assessment Tool (SWAT). The objective of this paper is to present the software architecture, functional capabilities and implementation of SWATShare as a collaborative environment for hydrology research and education using the models published and shared in the system. Besides the capability of publishing, sharing, discovery and downloading of SWAT models, some of the functions in SWATShare such as model calibration are supported by providing access to high performance computing resources including the XSEDE and cloud. Additionally, SWATShare can create dynamic spatial and temporal plots of model outputs at different scales. SWATShare can also be used as an educational tool within a classroom setting for comparing the hydrologic processes under different geographic and climatic settings. The utility of SWATShare for collaborative research and education is demonstrated by using three case studies. Even though this paper focuses on the SWAT model, the system’s architecture can be replicated for other models as well.     

How do bidders’ organism reactions mediate auction stimuli and bidder loyalty in online auctions? The case of Taobao in China

Currently, it is critical to nurture bidder loyalty in the highly competitive online auction business. This study investigated the mediating effect of consumer perceptions between technological/brand stimuli and bidder loyalty to an online auction website by applying the traditional and evolutionary stimulus–organism–response models. We tested these models using 449 bidders from Taobao, an online auction service provider in China. Based on the results of covariance-based structural equation modelling, we showed that consumer perceptions fully mediate technological stimuli, but only partially mediate brand stimuli, and bidder loyalty. These results can be used to further improve the related research and practice.     

Does the source of external knowledge matter? Examining the role of customer co-creation and partner sourcing in knowledge creation and innovation

External knowledge is widely acknowledged to be critical for organizational innovation. However, we lack understanding of how different sources of knowledge—namely knowledge from customers and partners—influence innovation. Grounded in the knowledge-based view of the firm, we theoretically develop and empirically test a model of mechanisms through which two forms of external knowledge acquisition i.e., customer co-creation and partner sourcing, foster knowledge creation and innovation. We posit that the different forms of external knowledge acquisition contribute differentially toward innovation outcomes. Finally, we examine the moderating role of knowledge dissemination capability on the relationships between external knowledge of both forms. We test our proposed model using data gathered from 655 organizations in two knowledge intensive sectors i.e., financial and information technology. Our model explains 65 % of the variance in knowledge creation and highlights that organizations with higher degree of knowledge creation are more likely to innovate through new patents. We extend prior research on customer co-creation and organizational innovation by identifying intervening organizational variables and mechanisms that explicate the effects of external knowledge on innovation. The results provide important implications for organizations regarding the capabilities needed to utilize external knowledge for innovation.     

Property specification,process verification,and reporting – A case study with vehicle-commissioning processes

Testing in the automotive industry is supposed to guarantee that vehicles are shipped without any flaw. Respective processes are complex, due to the variety of components and electronic devices in modern vehicles. To achieve error-free processes, their formal analysis is required. Specifying and maintaining properties the processes must satisfy in a user-friendly way is a core requirement on any verification system. We have observed that there are few property templates that testing processes must adhere to, and we describe these templates. They depend on the context of the processes, e.g., the components of the vehicle or testing stations. We have developed a framework that instantiates the templates of properties at verification time and then verifies the process against these instances. To allow an automatic verification we develop a transformation of the commissioning process to a Petri net. Using a novel approach, we are able to report the found violations to the user in a user-friendly way. Our empirical evaluation with the industrial partner has shown that our framework does detect property violations in processes. From expert interviews we conclude that our framework is user-friendly and well suited to operate in a real production environment.     

A monitoring indicator system for remote sensing of grassland vegetation growth and suitability evaluation – a case study of the Xilingol Grassland in Inner Mongolia,China

Grassland vegetation growth directly reflects plant growth conditions, and growth processes are an important component of ecological status assessments of grasslands and can provide timely guidance for agricultural production. In this study, the Xilingol Grassland in Inner Mongolia was used as the study area, and a monitoring indicator system for the remote sensing of grassland vegetation growth was established based on 16 days of Moderate Resolution Imaging Spectroradiometer (MODIS) data and ground sampling data, which were used to assess the suitability of the indicator system. A monitoring indicator system for the remote sensing of grassland vegetation that included the modified growth index (MGI)-normalized difference vegetation index (NDVI), MGI-enhanced vegetation index (EVI), growth index (GI)-NDVI, and GI-EVI was established by using the year 2000 as the base year, two vegetation indices and difference and normalized difference methods. A model for estimating the ground growth (g) was then constructed by using expert opinion scoring and the Analytic Hierarchy Process (AHP) to determine the weights of vegetation coverage (c), height (h), and yield (y) in the ground plots, with the model calculated as follows: g = 0.2543c + 0.1848 h + 0.5609y. Additionally, the ground growth value was calculated according to the ground growth model, and the values obtained from the remote-sensing indicators in the corresponding region were subjected to a correlation analysis based on this partition. The remote-sensing growth indices suitable for temperate steppe, meadow steppe, and desert steppe regions were GI-EVI, MGI-NDVI, and GI-NDVI, respectively. Finally, vegetation growth in the Xilingol Grassland was evaluated using the optimal remote-sensing GI for each area, and the results indicated that the areas with the greatest growth improvement occurred in the temperate steppe region followed by the meadow steppe region, whereas vegetation growth improvement was insignificant in the desert steppe region. The results of this study have important significance for the economic development and ecological environmental improvement of pastoral and semi-pastoral regions and can be used to determine the optimal use and scientific management of grasslands.     

Smart manufacturing process and system automation – A critical review of the standards and envisioned scenarios

Smart manufacturing is arriving. It promises a future of mass-producing highly personalized products via responsive autonomous manufacturing operations at a competitive cost. Of utmost importance, smart manufacturing requires end-to-end integration of intra-business and inter-business manufacturing processes and systems. Such end-to-end integration relies on standards-compliant and interoperable interfaces between different manufacturing stages and systems. In this paper, we present a comprehensive review of the current landscape of manufacturing automation standards, with a focus on end-to-end integrated manufacturing processes and systems towards mass personalization and responsive factory automation. First, we present an authentic vision of smart manufacturing and the unique needs for next-generation manufacturing automation. A comprehensive review of existing standards for enabling manufacturing process automation and manufacturing system automation is presented. Subsequently, focusing on meeting changing demands of efficient production of highly personalized products, we detail several future-proofing manufacturing automation scenarios via integrating various existing standards. We believe that existing automation standards have provided a solid foundation for developing smart manufacturing solutions. Faster, broader and deeper implementation of smart manufacturing automation can be anticipated via the dissemination, adoption, and improvement of relevant standards in a need-driven approach.     

Design of review systems – A strategic instrument to shape online reviewing behavior and economic outcomes

As online reviews play a decisive role in consumers’ purchase decisions, e-commerce platforms are using review systems strategically to obtain a competitive advantage. However, the strategic potential can only be leveraged if the review system is designed appropriately. Research on the design of review systems and the effects of design choices has not yet been summarized or synthesized in a review article. We aim to close this gap by providing a scoping review. In our synthesis we posit that the design of review systems moderates the impact of online reviews on economic outcomes and the factors that drive the formation of reviews. After reviewing current research findings, we identify gaps and provide a research agenda covering three key themes: Design features, environments, and devices.     

How social-media-enabled co-creation between customers and the firm drives business value? The perspective of organizational learning and social Capital

Contemporary business organizations are increasingly turning their attention to value co-creation using social media between individual customers and business organizations in the process of new product development (NPD). However, little is known about the mechanisms underlying social-media-based customer-firm co-creation and their implications for business value in NPD. To address this knowledge gap, this study develops a model from the perspective of organizational learning and social capital to examine how the social-media-based customer-firm co-creation mechanism conceptualized as the structural, cognitive, and relational dimension of social capital influences the first-order knowledge outcome (knowledge transfer effectiveness) and second-order dynamic capability outcome (absorptive capacity), and how these co-creation outcomes ultimately influence organizational performance. The model is tested using survey data from 149 Chinese mobile application developers. The results indicate that social-media-based structural, cognitive, and relational linkage, in particular the structural linkage, is an important co-creation mechanism to improve organizational performance. Knowledge transfer effectiveness and absorptive capacity have significant mediating effects in this co-creation mechanism-outcomes-performance framework. Further, the moderating effects of social media use level on the relationships between co-creation mechanism and outcomes are largely supported. The study contributes to theory and practice by shedding light on the social-media-based customer-firm co-creation in NPD at a process level.     

The financial-economic crisis and value of equity capital: A case study of Slovenian public limited companies 2006–2011

The purpose of this paper is to discuss the effect of financial-economic crisis on the equity value of companies, as well as present the importance of fair and honest company valuations. The fundamental value of equity capital of a company is important for both management and external shareholders. The wide disparity between market and fundamental values can lead to high value adjustments, which reduces investors confidence in the capital market. This has had a negative impact on the operations of financial institutions, and individual as well as company investment; especially on developing financial markets during a financial-economic crisis. This research was designed to assess the equity value of Slovenian public limited companies based on the discounted free cash flows to equity and comparing it with market value of equity capital of companies before and during the financial-economic crisis. The fundamental value of equity capital of the selected companies (sample of 25) is calculated using a two-tiered model. The paired-sample t-tests method rejected the hypothesis that the fundamental value of equity capital of Slovenian public limited companies better reflects the market value of equity capital in today’s times of financial-economic crisis (2011) than before the crisis (2006). However, we found that the market value of equity capital in relation to the fundamental value of equity capital of the selected companies was lower in 2011 than in 2006. Various models of the basic calculations are used in the model evaluation. This study shows the problem of company valuation on small and emerging capital markets which have a short history of data.