bluuebunny/crossref_metadata_2025_split huggingface dataset:
Human-centered authentication guidelines
Authors: Still Jeremiah D. , Cain Ashley , Schuster David 
Published: August 2017

Purpose
Despite the widespread use of authentication schemes and the rapid emergence of novel authentication schemes, a general set of domain-specific guidelines has not yet been developed. This paper aims to present and explain a list of human-centered guidelines for developing usable authentication schemes.

Design/methodology/approach
The guidelines stem from research findings within the fields of psychology, human–computer interaction and information/computer science.

Findings
Instead of viewing users as the inevitable weak point in the authentication process, this study proposes that authentication interfaces be designed to take advantage of users’ natural abilities. This approach requires that one understands how interactions with authentication interfaces can be improved and what human capabilities can be exploited. A list of six guidelines that designers ought to consider when developing a new usable authentication scheme has been presented.

Research limitations/implications
This consolidated list of usable authentication guidelines provides system developers with immediate access to common design issues impacting usability. These guidelines ought to assist designers in producing more secure products in fewer costly development cycles.

Originality/value
Cybersecurity research and development has mainly focused on technical solutions to increase security. However, the greatest weakness of many systems is the user. It is argued that authentication schemes with poor usability are inherently insecure, as users will inadvertently weaken the security in their efforts to use the system. The study proposes that designers need to consider the human factors that impact end-user behavior. Development from this perspective will address the greatest weakness in most security systems by increasing end-user compliance.
A cyber-threat analytic model for autonomous detection of virtual property theft
Authors: Patterson Nicholas , Hobbs Michael , Zhu Tianqing 
Published: August 2017

Purpose
The purpose of this study is to provide a framework to detect and prevent virtual property theft in virtual world environments. The issue of virtual property theft is a serious problem which has ramifications in both the real and virtual world. Virtual world users invest a considerable amount of time, effort and often money to collect virtual property, only to have them stolen by thieves. Many virtual property thefts go undetected and often only discovered after the incident has occurred.

Design/methodology/approach
This paper presents the design of an autonomic detection framework to identify virtual property theft at two key stages: account intrusion and virtual property trades. Account intrusion is an unauthorized user attempting to gain access to an account and unauthorized virtual property trades are trading of items between two users which exhibit theft characteristics.

Findings
Initial tests of this framework on a synthetic data set show an 80 per cent detection rate. This framework allows virtual world developers to tailor and extend it to suit their specific requirements. It provides an effective way of detecting virtual property theft while being low maintenance, user friendly and cost effective.

Originality/value
To the author’s knowledge, there is no detection framework, system or tool that works on virtual property theft detection in virtual world environments without access to authentic virtual world data or attack data (because of privacy issues and unwillingness of virtual world environments companies to collaborate). The topic of virtual property theft, lack of existing labelled data sets, user anonymity, size of virtual world environments data sets and privacy issues with virtual world companies and a number of other critical factors distinguish this paper from previous studies.
Deterrence and punishment experience impacts on ISP compliance attitudes
Authors: Aurigemma Salvatore , Mattson Thomas 
Published: August 2017

Purpose
The paper aims to examine the inconclusive impacts of sanction-related deterrence on employee information security policy (ISP) compliance from the extant literature. It proposes that the disparate findings can be partially explained by two factors: investigating the mediating impact of attitudes on sanction effects instead of directly on behavioral intentions and examining employees with and without previous punishment experiences separately.

Design/methodology/approach
The paper relied upon survey data from 239 employees of a large governmental organization with a robust ISP and security education and training awareness program.

Findings
The paper provides empirical evidence that the rational estimation of sanction effects impacts the cognitive component of attitudes to develop a positive or negative attitude toward performing the ISP directed behavior. Furthermore, this attitudinal effect (created by sanction threats) will be biased depending on whether the employee has experienced, personally or vicariously, any previous punishment for violating the ISP.

Research limitations/implications
Because of the chosen research approach (self-reported survey data) and context (single hierarchical organization and a very specific security threat), the research results may lack generalizability. Therefore, researchers are encouraged to test the proposed propositions further in different organizational and threat contexts.

Practical implications
Organizations should have a thorough understanding of how their employees’ perceive sanctions in relationship to their prior experiences before implementing such policies.

Originality/value
The paper addresses previous research calls for examining possible mediation variables for deterrence effects and impacts of punishment experiences on employee ISP compliance.
Exploring the implications of supply risk on sustainability performance
Authors: Shafiq Asad , Johnson P. Fraser , Klassen Robert D. , Awaysheh Amrou 
Published: August 2017

PurposeFirms are increasingly being pressured by the public, regulators and customers to ensure that their suppliers behave in a socially and ecologically sound manner. Yet, the complexity and risks embedded in many supply chains makes this challenging, with monitoring practices offering one means to attenuate supply sustainability risk. Drawing on agency theory, the purpose of this paper is to examine the relationship between sustainability and operations risk, supplier sustainability monitoring practices, supply improvement initiatives and firm performance.Design/methodology/approachThis research uses data from a survey and archival sources from a sample of large US firms to empirically examine the relationship between sustainability and operations risk, supplier sustainability monitoring practices, supply improvement initiatives and firm performance.FindingsFindings indicate that higher levels of perceived sustainability risk is related to greater monitoring of supplier sustainability practices by focal firms. Perceptions of higher operations risk are indirectly related to greater social monitoring through investment in supply improvement initiatives. Monitoring of supplier sustainability practices is also found to have a positive effect on focal firm performance.Practical implicationsFindings suggest that managers process operations risks and sustainability risks independently. Greater sustainability risk leads to increased sustainability monitoring, while greater operations risk leads to increased investment in supply improvement initiatives, which in turn leads to increased social monitoring. The research also indicates that behavior-oriented approaches, such as monitoring of supplier environmental and social practices, are an effective approach to improving firm sustainability performance. However, due to resource constraints, a challenge for supply chain managers is where and when to invest in behavior-oriented approaches for suppliers.Originality/valueThis research advances supply risk literature by exploring the effects of supply sustainability risk on the use of monitoring practices to manage supplier environmental and social behavior. Using a combination of survey and archival data to independently assess the implications of sustainability monitoring practices on firm sustainability performance, this study provides a methodology for evaluating the impact of sustainability monitoring practices on the triple bottom line in supply chain management.
Quality ambidexterity, competitive strategies, and financial performance
Authors: Herzallah Ahmad , Gutierrez-Gutierrez Leopoldo J. , Munoz Rosas Juan Francisco 
Published: August 2017

PurposeThe purpose of this paper is to examine the relationship between quality ambidexterity (QAMB), competitive strategies (cost leadership, differentiation, and focus), and firm performance in Palestinian industry, and to analyze the combination of quality exploitation (QEI) and quality exploration (QER) (QAMB) associated with the different levels of each competitive strategy.Design/methodology/approachUsing data collected through a survey of 205 Palestinian industrial firms, the study conducted structural equation modeling to test the proposed relationships. Additional statistical analyses were applied to the combinations of QEI and QER for each competitive strategy.FindingsThe results show a positive and significant relationship between QAMB and three competitive strategies, and between competitive strategies and financial performance, focus strategy excepted. Balanced combination with similar levels of QEI and QER is found to be more suitable for higher levels of competitive strategies implementation, whereas an excess of QER over QEI is associated with lower levels of strategies implementation.Research limitations/implicationsAlthough Palestine has two regions, the West Bank and the Gaza Strip, all survey respondents were from the West Bank. The data used in this study come from the industrial sector only.Originality/valueThis study is the first empirical test to examine the impact of QAMB on financial performance through competitive strategies. The study results may help managers to implement QEI and QER practices in order to allocate resources effectively and ultimately improve financial performance.
Conceptualizing a circular framework of supply chain resource sustainability
Authors: Koh S.C. Lenny , Gunasekaran Angappa , Morris Jonathan , Obayi Raymond , Ebrahimi Seyed Mohammad 
Published: August 2017

PurposeIn response to calls for conceptual frameworks and generic theory building toward the advancement of sustainability in supply chain resource utilization and management, the purpose of this paper is to advance a circular framework for supply chain resource sustainability (SCRS), and a decision-support methodology for assessing SCRS against the backdrop of five foundational premises (FPs) deduced from the literature on resource sustainability.Design/methodology/approachTaking a conceptual theory-building approach, the paper advances a set of SCRS decision-support criteria for each of the theoretical premises advanced, and applies the theory of constraints to illustrate the conceptual and practical applications of the framework in SCRS decision making.FindingsThis study uses recent conceptualizations of supply chains as “complex adaptive systems” to provide a robust and novel frame and a set of decision rules with which to assess the interconnectedness of environmental, economic, and social capital of supply chain resources from pre-production to post-production.Research limitations/implicationsThe paper contributes to theory building in sustainability research, and the SCRS decision framework developed could be applied in tandem with existing quantitative hybrid life-cycle and input-output approaches to facilitate targeted resource sustainability assessments, with implications for research and practice.Originality/valueThe novel SCRS framework proposed serves as a template for evaluating SCRS and provides a decision-support methodology for assessing SCRS against the five theorized FPs.
Service fitness ladders: improving business performance in low cost and differentiated markets
Authors: Hill Alex , Cuthbertson Richard , Laker Benjamin , Brown Steve 
Published: August 2017

PurposeThe purpose of this paper is to present 13 propositions about how internal strategic fit (often referred to as fit) impacts the business performance of low cost and differentiated services. It then uses these relationships to develop two “fitness ladder” frameworks to help practitioners understand how to improve fit given their business strategy (low cost or differentiation) and performance objectives (operational, financial or competitiveness).Design/methodology/approachIn total, 11 strategic business units were studied that perform differently and provide a range of low cost and differentiated services to understand how changes in internal strategic fit impacted business performance over a 7 year period.FindingsThe findings suggest aligning systems with market needs does not improve performance. Instead, firms serving low cost markets should first focus managers’ attention on processes and centralise resources around key processes, before reducing process flexibility and automate as many steps as possible to develop a low cost capability that is difficult to imitate. By contrast, firms serving differentiated markets should first focus managers’ attention on customers and then locate resources near them, before increasing customer contact with their processes and making them more flexible so they can develop customer knowledge, relationships and services that are difficult to imitate.Research limitations/implicationsSome significant factors may not have been considered as the study only looked at the impact of 14 internal strategic fit variables on 7 performance variables. Also, the performance changes may not be a direct result of the strategic fit improvements identified and may not generalise to other service organisations, settings and environments.Practical implicationsThe strategic fit-performance relationships identified and the “fitness ladder” frameworks developed can be used by organisations to make decisions about how best to improve fit given their different market needs, business strategies and performance objectives.Originality/valueThe findings offer more clarity than previous research about how internal fit impacts business performance for low cost and differentiated services.
A research note on multinationality and firm performance
Authors: Grant Kevin , Matousek Roman , Meyer Martin , Tzeremes Nickolaos G. 
Published: August 2017

PurposeThe purpose of this paper is to provide a fresh insight into the examination of the comparison between multinationality and firm performance, measured through technical efficiency levels by overcoming methodological constraints and misunderstandings presented in earlier research.Design/methodology/approachThe authors estimate firms’ efficiency levels in a production function-type framework through technical efficiency levels using nonparametric data envelopment analysis. The authors include firms from both developed and developing economies, from different national origins and with different sectoral characteristics, with a particular focus on knowledge-intensive business services (KIBS) and capital-intensive business services (CIBS).FindingsThe study confirms for the case of KIBS the existence of the three-stage sigmoid (S-shaped) hypothesis between multinationality and firm performance measured through technical efficiency levels. Finally, the empirical findings reveal that CIBS exhibit only the first two stages, thus forming a “U”-shape relationship.Originality/valueThe authors propose the application of different firms’ performance measurements, providing us with the ability to unpack a firms’ managerial decision processes with regards to determining the optimised investment(s) in technology and research and development and with a particular focus on KIBS and CIBS.
Contextual case-based reasoning applied to a mobile device
Authors: Guessoum Djamel , Miraoui Moeiz , Tadj Chakib 
Published: August 2017

PurposeThis paper aims to apply a contextual case-based reasoning (CBR) to a mobile device. The CBR method was chosen because it does not require training, demands minimal processing resources and easily integrates with the dynamic and uncertain nature of pervasive computing. Based on a mobile user’s location and activity, which can be determined through the device’s inertial sensors and GPS capabilities, it is possible to select and offer appropriate services to this user.Design/methodology/approachThe proposed approach comprises two stages. The first stage uses simple semantic similarity measures to retrieve the case from the case base that best matches the current case. In the second stage, the obtained selection of services is then filtered based on current contextual information.FindingsThis two-stage method adds a higher level of relevance to the services proposed to the user; yet, it is easy to implement on a mobile device.Originality/valueA two-stage CBR using light processing methods and generating context aware services is discussed. Ontological location modeling adds reasoning flexibility and knowledge sharing capabilities.
Silicon Valley, France and China: a comparative study of innovation systems and policies
Authors: Fung K.C. , Aminian Nathalie 
Published: August 2017

PurposeIn this paper, the authors aim to examine some characteristics of the innovation system and policy in France and China. For comparison, they also highlight some high technology features of Silicon Valley and California.Design/methodology/approachThe authors study the characteristics of innovation in France and in China. The authors examine the technology systems and policies in both countries and compare their features with those in Silicon Valley.FindingsAs far as France is concerned, it can be stated that the innovation system and policy are under transformation, going from a strong state involvement to a more decentralized framework. This evolution leads to a multi-level governance of the innovation system and to the emergence of new actors. For China, the most interesting development in China is the evolution of its internet-related sector. The authors argue here that the internet-driven economy is a radical, systemic technological change and it is rapidly growing in China.Originality/valueOne of the earliest papers comparing the innovation policies and activities in France, China and Silicon Valley.
Big data-driven business model innovation by traditional industries in the Chinese economy
Authors: Cheah Sarah , Wang Shenghui 
Published: August 2017

Purpose
This study aims to construct mechanisms of big data-driven business model innovation from the market, strategic and economic perspectives and core logic of business model innovation.

Design/methodology/approach
The authors applied deductive reasoning and case analysis method on manufacturing firms in China to validate the mechanisms.

Findings
The authors have developed an integrated framework to deduce the elements of big data-driven business model innovation. The framework comprises three elements: perspectives, business model processes and big data-driven business model innovations. As we apply the framework on to three Chinese companies, it is evident that the mechanisms of business model innovation based on big data is a progressive and dynamic process.

Research limitations/implications
The case sample is relatively small, which is a typical trade-off in qualitative research.

Practical implications
A robust infrastructure that seamlessly integrates internet of things, front-end customer systems and back-end production systems is pivotal for companies. The management has to ensure its organization structure, climate and human resources are well prepared for the transformation.

Social implications
When provided with a convenient crowdsourcing platform to provide feedback and witness their suggestions being implemented, users are more likely to share insights about their use experience.

Originality/value
Extant studies of big data and business model innovation remain disparate. By adding a new dimension of intellectual and economic resource to the resource-based view, this paper posits an important link between big data and business model innovation. In addition, this study has contributed to the theoretical lens of value by contextualizing the value components of a business model and providing an integrated framework.
Using the concept of hubots to understand the work entailed in using digital technologies in healthcare
Authors: Pope Catherine , Turnbull Joanne 
Published: August 2017

Purpose
The purpose of this paper is to explore the human work entailed in the deployment of digital health care technology. It draws on imagined configurations of computers and machines in fiction and social science to think about the relationship between technology and people, and why this makes implementation of digital technology so difficult. The term hubots is employed as a metaphorical device to examine how machines and humans come together to do the work of healthcare.

Design/methodology/approach
This paper uses the fictional depiction of hubots to reconceptualise the deployment of a particular technology – a computer decision support system (CDSS) used in emergency and urgent care services. Data from two ethnographic studies are reanalysed to explore the deployment of digital technologies in health services. These studies used comparative mixed-methods case study approaches to examine the use of the CDSS in eight different English NHS settings. The data include approximately 900 hours of observation, with 64 semi-structured interviews, 47 focus groups, and surveys of some 700 staff in call centres and urgent care centres. The paper reanalyses these data, deductively, using the metaphor of the hubot as an analytical device.

Findings
This paper focuses on the interconnected but paradoxical features of both the fictional hubots and the CDSS. Health care call handling using a CDSS has created a new occupation, and enabled the substitution of some clinical labour. However, at the same time, the introduction of the technology has created additional work. There are more tasks, both physical and emotional, and more training activity is required. Thus, the labour has been intensified.

Practical implications
This paper implies that if we want to realise the promise of digital health care technologies, we need to understand that these technologies substitute for and intensify labour.

Originality/value
This is a novel analysis using a metaphor drawn from fiction. This allows the authors to recognise the human effort required to implement digital technologies.