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When coping with uncertainties, three characteristics distinguish firms: agility, adaptability and alignment (triple-A). Based on significant field research, the triple-A highlights the significance of coordinating agility, adaptability and alignment. Start-ups are facing a lot of challenges in this turbulent environment. However, this sector is undergoing a major transformation. Agility, adaptability and alignment concepts have had a major influence on the supply chain, but their implementation in start-ups has been less visible. This paper aims to identify, analyze and categorize the enablers for agility, adaptability and alignment in start-ups using the total interpretive structural modeling (TISM) approach.

In addition to the scheduled interview, a closed-ended questionnaire was used to collect data. To identify how the factors interact, the TISM technique is used, and the Matriced’Impacts Croises-Multipication Applique’ and Classment method is used to rank and categorize the agility, adaptability and alignment enablers.

This study identified ten agility, adaptability and alignment factors for start-ups. It has been found that the key importance should be given to management involvement, conflict management, collaboration and information integration.

This study primarily focused on the agility, adaptability and alignment factors in start-ups.

This study will help academics and key stakeholders understand the aspects that lead to agility, adaptability and alignment in start-ups.

Agility, adaptability and alignment concepts have had a major influence on the supply chain, but their implementation in start-ups has been less visible. Therefore, this is a novel attempt in this industry’s agility, adaptability and alignment.

The surge of interest in speciality colourants in recent years shows no signs of diminishing despite the scarcity of some of the dyestuffs and pigments necessary to achieve unusual effects. Such an upward trend may be common to many industries, but suppliers of daylight fluorescent pigments have not been the slowest to develop new effects for innovative customers. Shortly after the introduction by Sterling Industrial Colour Ltd of its FLARE 920 Series of high strength polyamide based daylight fluorescent pigments for blow moulded plastics, it was discovered that this range could be combined with other speciality colourants to achieve startling effects, not only in plastics but in a variety of other applications. Previously fluorescent pigments were used alone and against a white background for best effect in inks, paints and plastics because the slightest contamination was known to reduce the fluorescent effect. But the exceptional strength of the FLARE 920 range permits its reduction with pearlescents and/or opaque whiteners in all these and other applications.

The purpose of this paper is to develop an adoption model to identify the critical factors that affect firms' intention to adopt mobile enabled supply chain systems (mSCM) in retail industry. This study focuses on inter‐organizational dimension since mSCM is an inter‐organizational system that provides both inter‐ and intra‐organizational linkages for firms across the supply chain.

A survey method was used to test the proposed model. Data from this study were obtained from South Korean firms.

Supply chain awareness was shown to be a strong predictor of both inter‐organizational dependence and inter‐organizational trust which positively affects firms' long‐term relationship with their trading partners. Institutional pressures, long‐term relationship, and top management support also had a significant influence firms' mSCM adoption intention.

First, only executives and managers in retail industry of South Korea were surveyed, thus, the results may not be generalized to retail industry in other countries. Second, the current study focuses on a firm's mSCM adoption intention rather than actual adoption.

This study provides useful insights for practitioners to better manage institutional pressures and nurture long‐term relationship in order to promote co‐adoption of mSCM.

This study provides useful insights for supply chain members on how to overcome barriers to adopting an innovation and to increase the chance of successfully adopting mSCM in the retail supply chain.

The purpose of this paper is to identify avenues for future research in mobile supply chain management (mSCM) in the advent of Industry 4.0.

A systematic literature review was used to identify, classify, and analyze current knowledge, identify trends, and propose recommendations for future research.

Other research fields, such as operations, production, industrial engineering, and computer science, seem to have a head start in research into Industry 4.0. Several avenues are suggested for investigation under an information systems lens.

Despite the care taken in the systematic literature review, the language (English), the selected keywords, and selected databases represent a natural limitation.

With Industry 4.0 at the top of the agenda of managers and countries, it is important to identify relevant research avenues.

A gap between the extant literature on mSCM and new concerns raised by Industry 4.0 is presented, and some research opportunities to close those gaps are proposed.

The purpose of this paper is to investigate the benefits and the barriers of agent based decision support (ABDS) systems in the supply chain context.

Two ABDS systems have been developed and evaluated. The first system concerns a manufacturing supply chain while the second concerns a service supply chain. The systems are based on actual case companies.

This research shows that the benefits of ABDS systems in the supply chain context include the possibility to increase versatility of system architecture, to improve supply chain visibility, to conduct experiments and what‐if analyses, to improve the understanding of the real system, and the possibility to improve communication within and between organizations in the supply chain. The barriers of ABDS systems in the supply chain context include the difficulty to access data from partners in the supply chain, the difficulty to access data on a higher level of granularity, and the difficulty to retrieve data from other information systems.

The research is explorative in nature therefore empirical data from similar and other research settings should be gathered to reinforce the validity of the findings.

This research provides knowledge and insights on how ABDS systems may be developed and used in the supply chain context and demonstrates its main benefits and barriers.

This research expands the current research of benefits of ABDS systems to the supply chain domain and also addresses the barriers of ABDS systems to a larger extent than previous research. Comparisons to other simulation based decision support systems are also given.

This paper aims to improve the performance of a two-camera robotic feedback system designed for automatic pick and place application by modifying its velocity profile during switching of control.

Cooperation of global and local vision sensors ensures visibility of the target for a two-camera robotic system. The master camera, monitoring the workspace, guides the robot such that image-based visual servoing (IBVS) by the eye-in-hand camera transcends its inherent shortcomings. A hybrid control law steers the robot until the system switches to IBVS in a region proven for its asymptotic stability and convergence through a qualitative overview of the scheme. Complementary gain factors can ensure a smooth transition in velocity during switching considering the versatility and range of the workspace.

The proposed strategy is verified through simulation studies and implemented on a 6-DOF industrial robot ABB IRB 1200 to validate the practicality of adaptive gain approach while switching in a hybrid visual feedback system. This approach can be extended to any control problem with uneven switching surfaces or coarse/fine controllers which are subjected to discrete time events.

In complex workspace where robots operate in parallel with other robots/humans and share workspaces, the supervisory control scheme ensures convergence. This study proves that hybrid control laws are more effective than conventional approaches in unstructured environments and visibility constraints can be overcome by the integration of multiple vision sensors.

The supervisory control is designed to combine the visual feedback data from eye-in-hand and eye-to-hand sensors. A gain adaptive approach smoothens the velocity characteristics of the end-effector while switching the control from master camera to the end-effector camera.

Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior of E-payment systems that employ smart card technology becomes a research area that is of particular value and interest to both IS researchers and professionals. However, research interest focuses mostly on why a smart card-based E-payment system results in a failure or how the system could have grown into a success. This signals the fact that researchers have not had much opportunity to critically review a smart card-based E-payment system that has gained wide support and overcome the hurdle of critical mass adoption. The Octopus in Hong Kong has provided a rare opportunity for investigating smart card-based E-payment system because of its unprecedented success. This research seeks to thoroughly analyze the Octopus from technology adoption behavior perspectives.

Cultural impacts on adoption behavior are one of the key areas that this research posits to investigate. Since the present research is conducted in Hong Kong where a majority of population is Chinese ethnicity and yet is westernized in a number of aspects, assuming that users in Hong Kong are characterized by eastern or western culture is less useful. Explicit cultural characteristics at individual level are tapped into here instead of applying generalization of cultural beliefs to users to more accurately reflect cultural bias. In this vein, the technology acceptance model (TAM) is adapted, extended, and tested for its applicability cross-culturally in Hong Kong on the Octopus. Four cultural dimensions developed by Hofstede are included in this study, namely uncertainty avoidance, masculinity, individualism, and Confucian Dynamism (long-term orientation), to explore their influence on usage behavior through the mediation of perceived usefulness.

TAM is also integrated with the innovation diffusion theory (IDT) to borrow two constructs in relation to innovative characteristics, namely relative advantage and compatibility, in order to enhance the explanatory power of the proposed research model. Besides, the normative accountability of the research model is strengthened by embracing two social influences, namely subjective norm and image. As the last antecedent to perceived usefulness, prior experience serves to bring in the time variation factor to allow level of prior experience to exert both direct and moderating effects on perceived usefulness.

The resulting research model is analyzed by partial least squares (PLS)-based Structural Equation Modeling (SEM) approach. The research findings reveal that all cultural dimensions demonstrate direct effect on perceived usefulness though the influence of uncertainty avoidance is found marginally significant. Other constructs on innovative characteristics and social influences are validated to be significant as hypothesized. Prior experience does indeed significantly moderate the two influences that perceived usefulness receives from relative advantage and compatibility, respectively. The research model has demonstrated convincing explanatory power and so may be employed for further studies in other contexts. In particular, cultural effects play a key role in contributing to the uniqueness of the model, enabling it to be an effective tool to help critically understand increasingly internationalized IS system development and implementation efforts. This research also suggests several practical implications in view of the findings that could better inform managerial decisions for designing, implementing, or promoting smart card-based E-payment system.

The purpose of this study is to investigate the various enablers of and constraints on employees' information sharing on an enterprise social media platform. It draws on two theoretical perspectives, communication privacy management theory and the technology affordance framework, as well as on empirical data in an attempt to paint a comprehensive picture of the factors shaping employees' decisions to share or not share information on enterprise social media.

This qualitative field study is based on semi-structured interviews and enterprise social media review data from a large Nordic media organization.

On an enterprise social media platform, privacy management principles shape employees' information-sharing decisions in relation to personal privacy boundaries, professional boundaries and assumed risks, online safety concerns and perceived audience. Additionally, the technological affordances of visibility, awareness, persistence and searchability shape employees' information sharing in varying and sometimes even contradictory ways. Finally, organizational factors, such as norms, tasks and media repertoires, are associated with employees' information-sharing decisions. Together, these three dimensions, personal, technological and organizational, form a model of the enablers of and constraints on employees' decisions to share information on enterprise social media.

This study extends the understanding of different factors shaping employees' decisions to share or not share information on enterprise social media. It extends the two applied theories by uniquely combining interpersonal privacy management principles with a technological affordance framework that focuses on the relationship between the user and the technology. This research also furthers the authors' knowledge of what privacy management principles mean in the organizational context. This study shows connections between the two theories and extends the understanding of technology affordances as not only action possibilities but also constraining factors. Additionally, by revealing what kinds of factors encourage and inhibit information sharing on enterprise social media, the results of this study support organizations in their efforts to manage information sharing on enterprise social media systems.

This study aims to investigate how trauma team members perceive technological equipment and tools in the trauma room (TR) environment and to identify how the technological equipment could be optimized in relation to the TR’s space.

A total of 21 focus group sessions were conducted with 69 trauma team members, all of whom worked in Level I TRs from six teaching hospitals in the USA.

The collected data was analyzed and categorized into three parent themes: imaging equipment, assistive devices and room features. The results of the study suggest that trauma team members place high importance on the availability and versatility of the technological equipment in the TR environment. Although CT scans are a usual procedure necessity in TRs, few facilities were optimized for easy access to CT-scanners for the TR. The implementation of cameras and screens was suggested as an improvement to accommodate situational awareness. Rapid sharing of data, such as imaging results, was highly sought after. Unorthodox approaches, such as the use of automatic doors, were associated with slowing down the course of actions.

This study provides health-care designers with the knowledge they need to make informed decisions when designing TRs. It will cover key considerations such as room layout, equipment selection, lighting and controls. Implementing the strategies will help minimize negative patient outcomes.

Level I TRs are a critical element of emergency departments and designing them correctly can significantly impact patient outcomes. However, designing a TR can be a complex process that requires careful consideration of various factors, including patient safety, workflow efficiency, equipment placement and infection control. This study suggests multiple considerations when designing TRs.

The purpose of this paper is to consider surgical robotics, with a focus on technology and design issues for remote‐mode operation assistance. The investigation leads to the definition of the technical characteristics of a co‐robotic positioning device (CRPD), to be developed in support of a split‐duty approach to planning. The expected characteristics and advantages are outlined, including the operation potential of special‐purpose devices (e.g. an automatic changer for surgical tools) and of scope‐driven enhancers (e.g. the exploration of the intervention theatre).

The paper addresses example developments based on projects performed with the co‐operation of other robot laboratories in Munich and Paris. The CRPD concept is applied in relation to the DLR KineMedic^® arm (developed by the Munich laboratory), and with the LRP prototype mini‐arm (built by the Paris laboratory).

Minimally‐invasive surgery deserves increasing attention to reduce post‐operative hospital stays and to reduce complications. This leads to new trends in robotics, to facilitate safe, fast and accurate remote manipulation, and integrated computer‐aided implements. The features of the example CRPD design are summarised for the two cases.

The overall comments consider minimally‐invasive robotic surgery as a given intervention practice in the near future, and the split‐duty approach, supported by the CRPD technology, as a valuable aid for human‐robot co‐operation, according to the “best‐of‐skills” idea, supporting intervention under the surgeon's control.

This investigation shows new results aimed at expanding the operation versatility of robotics with integrated intelligence, to enhance scope‐driven alternatives and out‐of‐reach handling with improved dexterity and safe autonomic processing.