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The purpose of this paper is to identify details of technological, organizational and people (TOP) factors affecting maintenance technicians’ use of computerized maintenance management systems (CMMS) in manual collection of asset data.

In addition to TOP factor details, results from six case studies in Finland, India and the Caribbean are presented. Interviews and observations clarify the role of TOP factors in CMMS use in industrial maintenance.

In total, 17 detailed TOP factors are identified and criteria for analyzing CMMS contexts with them are defined. Analyzing the cases with these factors reveals that technicians who collect good quality data have received good training and instructions for the CMMS, are competent, and understand how manually collected data benefits them in their own work. However, even these sites struggle with the usability of the CMMS.

The 17 TOP factors and the criteria for CMMS evaluation extend understanding on context and usability in manual data collection. Case study method does not imply the relative importance of the TOP factors, which calls for future research using quantitative methods.

Management can use the criteria to analyze the context of manual data collection for improvements, e.g., in CMMS usability.

Insights from industrial environments and a new way of studying contextual factors of CMMS use are presented. The results extend a data quality research framework with details to manual data collection and define the TOP factors in CMMS context.

The purpose of this paper is to examine gender and age differences regarding various aspects of privacy, trust, and activity on one of the most popular Facebook activity – “photo sharing.”

The data were collected using an online survey hosted by a web-based survey service for three weeks during December 2014-January 2015. The target audience comprised of Facebook users over 18 years engaged in sharing their photos on the platform.

Women and young Facebook users are significantly more concerned about the privacy of their shared photos. Meanwhile, users from older age groups are less active in using the site, in sharing photos, and in taking privacy-related protective measures. Interestingly, despite having more privacy concerns, young Facebook users display higher trust levels toward the platform than older users. Overall, in the study, there was an extremely significant difference in privacy attitudes among people under and over 35 years of age.

The main contribution of this study is new knowledge regarding the gender and age differences in various privacy-related aspects, trust, and activity. Findings from the study broadens the overall understanding of how these issues positively/negatively influence the photo-sharing activity on Facebook.

The popularity of Facebook photo sharing has not only seen a surge in the number of photos shared but also has raised various issues concerning user privacy and self-disclosure. Recent literature has documented the increasing interest of the research community in understanding various privacy issues concerning self-disclosures on Facebook. However, little is known about how different privacy issues, trust and activity influence users’ intentions to share photos on Facebook. To bridge this gap, a research model was developed and tested to better understand the impact of privacy concerns, privacy awareness and privacy-seeking on trust and actual photo sharing activity and subsequently on photo sharing intentions. This study aims to examine the consequences of various facets of privacy associated with photo sharing activity on Facebook.

A cross-sectional data from 378 respondents were collected and analysed using partial least squares modelling.

The results revealed a significant relationship between various aspects of privacy, including awareness and protective behaviour, with trust and activity. Furthermore, trust and users’ photo sharing activity significantly impact photo sharing intentions on Facebook.

This study contributes new knowledge concerning various privacy issues and their impact on photo sharing activity and trust. The study also proposes implications that are highly relevant for social networking sites, media agencies and organisations involved in safeguarding the privacy of online users.

The purpose of this paper is to introduce the RISE model on service innovation in coopetitive business environment. The case study illustrates why and how Chinese providers utilize ecosystems for innovative mobile payment service development to achieve coopetitive advantage based on firms’ superior resources.

The companies in the case study include Alipay (third-party actor), Bestpay (mobile operator), and UnionPay (banking). Empirical data comes from semi-structured interviews complemented with observations and documents. The analysis of the data follows grounded theory guidelines: creation of a theoretical framework, data collection, and interpretation of the data using the coding strategies of open coding, axial coding, and selected coding.

Inter-organizational co-innovation appears as a successful strategy for mobile payment service innovation. In addition to strategic choice on this, understanding of superior and inferior resources and capabilities influence firms’ coopetitive advantages in a coopetitive service development environment. Ecosystems are formed along with the innovating activities, and difficulties are caused by coopetition challenges. The RISE model enables the analysis and selection of strategic patterns for service innovation in a coopetitive environment.

The paper contributes to resource-advantage theory and platform ecosystem theory. The theories are used to analyze and model the effects of strategy execution for achieving win-win relationships in inter-organizational co-innovation. This paper helps executives to match their service innovation strategies to platform ecosystem architectures, as well as to understand how resource-advantage challenges affect the execution strategy of setting up their platform ecosystems.

Tissue engineering (TE) offers treatments for chronic, life threatening, degenerative illnesses and possibilities for restoring cellular or organ functions that have been lost due to injuries or hereditary conditions. However, a prerequisite for the use of TE products as part of future therapies is the development of strategies for safe and efficient supply chain management and versatile services spanning from product development to a follow‐up period of possibly decades. The present study aims to explore the future needs for services and extended supply chains for safe delivery of health care, procurement, distribution and long‐term follow‐up of TE products and therapies.

Studies in operational disciplines and coordination systems for different types of supply chains and service networks are used to formulate a framework for developing services throughout product lifecycle. Case examples of TE products are presented to demonstrate complexity, microbial risks, services and long‐term follow‐up. The role of logistics and the necessary services are identified for products classified into experimental, therapy and standard products.

The paper finds that, through the stages, the importance of logistics increases from an enabler to becoming a strategic tool, emphasizing logistics requirements in establishing a viable TE supply chain. New dimensions to existing service operations frameworks are needed where proactive tissue sourcing, long follow‐up periods, short shelf life and biological risks call for enforcing flexible services with tissue banks, detailed tracing, authorization and regulation.

The paper presents the discovery of the logistics services and service institutions that will become imperatives for the future success of TE products and therapies.

Drawing on food consumption research and human-animal studies, this paper aims to explore how the meanings related to a living horse may be transferred to those of horsemeat. This is accomplished by constructing a nuanced understanding of how different semantic meaning categories of accepting/avoiding consuming horsemeat relate to each other.

The current data are collected from various sources of media discussions, including online news, online discussion forums, blog postings and printed articles, generated in Finland after the year 2013. The data are analysed applying Greimas’ (1987) semiotic square to open up the semantic meaning categories appearing in the media discussions.

The semiotic square shows that the meanings of horsemeat arise between the binary oppositions of human-like and animal-like. In this structure, the category of human-like makes eating horsemeat impossible, whereas the category of animal-like makes horsemeat good to eat. The main categories are completed and contrasted by the categories of not human-like and not animal-like. They represent horsemeat as an acceptable food, but only after certain justifications.

The data are based on Finnish media texts, and therefore, the identified categories are interpreted in this specific cultural context.

The current semiotic analysis adds to the existing food consumption research by shedding light on the cultural barriers that make something edible or inedible. By so doing, the findings present a more nuanced and dynamic understanding of the horse as a special kind of meat animal and the justifications for eating horsemeat. Consequently, the findings offer new insights concerning changing food consumption behaviours into a more sustainable direction, pointing out the hidden meanings that influence this process.