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Choosing end‐effectors for robotic applications can be a mind‐boggling task, unless you are familiar with what is available and the appropriate application for each. Presents the XChange Tool Change system, offered by Applied Robotics, which facilitates fast and reliable end‐effector changing. The system has the ability to interface virtually any utility: pneumatics, vacuum, signal level input/output, high voltage, high current electrical power, cooling fluids, hydraulic oil, fibre optics and video signals. With the increasing need for a wider variety of products manufactured in smaller quantities, quick and automatic end‐effector changing is critical.

This study aims to examine the unexpected portion of the pension discount rate to determine if the pension discount rate is being used to manage earnings for both financially healthy and financially unhealthy firms as categorized based upon their Altman z-score for bankruptcy.

Regression analysis is conducted with the unexpected portion of the pension discount rate as the dependent variable and various metrics indicating potential firm strengths and weaknesses as the independent variables.

This study finds evidence that suggests managers for both groups of firms are using their choice of discount rate to manage bottom-line earnings. These findings highlight the patterns of various firm choice differences found between the two groups and the magnitude of the differences between the groups.

Three streams of literature are considered in this research: earnings management, defined pension plans and z-score bankruptcy. This study extends prior research by examining the unexpected portion of the pension discount rate based on the z-score determination of whether a firm is considered financially healthy or financially unhealthy. Our findings highlight the impact of various firm choice differences found between the two groups of firms.

The successful placing of long‐range technology planning decisions in the context of overall corporate strategic planning requires a mechanism for synthesizing R&D strategy and business strategy. This article argues that formalized technology forecasting has an important operational role to play in achieving the synthesis. Descriptive guidelines for an integrative framework are developed on the basis of a literature review and the author′s technology forecasting work which has been conducted to help devise long‐term research strategy in the offshore industry. Several factors are discussed which are considered to have an important integrative role. Technology forecasting is discussed with respect to these factors and the influence they have on the planning process.

Compares three definitions of earnings management used by accounting researchers and three methods of estimating it: aggregate accruals, specific accruals and discontinuities in earnings distribution. Discusses evidence relating to the reasons for income‐increasing earnings management, income‐decreasing earnings management and specific contexts, e.g. financial institutions with regulatory constraints. Concludes that, although the evidence is limited, managers are more likely to manipulate income up rather than down; and identifies some opportunities for further research.

Unlike previous studies which emphasize market oriented performance from the perspective of firms or customers, but mainly internally, the paper proposes that firms should prioritize customer‐focused performance defined totally externally from the perspective of targeted customers, which are the fundamental drivers of purchasing or repurchasing behaviors of customers and consequently the key to successful competition in the customer‐centered era. Then, the role of customer‐focused performance in the overall business performance system is examined. After the components and dynamics of customer‐focused performance are analyzed, much attention is given to its key determinants in perspective of a resource‐based view, which aims mainly at bridging the current gaps between strategic management and service management. In addition, important propositions are presented and future implications are discussed.

The main purpose of this paper is to explore whether the nature of innovation is accumulative or radical and to what extent past year accumulation of technology stock can predict future innovation. More importantly, the authors are concerned with whether a change of policy regime or a variance in the quality of technology will moderate the nature of innovation.

The authors examined a dataset of 3.6 million Chinese patents during 1985–2015 and constructed more than 5 million citation pairs across 8 sections and 128 classes to track knowledge spillover across technology fields. The authors used this citation dataset to calculate the technology innovation network. The authors constructed a measure of upstream invention, interacting the pre-existing technology innovation network with historical patent growth in each technology field, and estimated measure's impact on future innovation since 2005. The authors also constructed three sets of metrics – technology dependence, centrality and scientific value – to identify innovation quality and a policy dummy to consider the impact of policy on innovation.

Innovation growth is built upon past year accumulation and technology spillover. Innovation grows faster for technologies that are more central and grows more slowly for more valuable technologies. A pro-innovation and pro-intellectual property right (IPR) policy plays a positive and significant role in driving technical progress. The authors also found that for technologies that have faster access to new information or larger power to control knowledge flow, the upstream and downstream innovation linkage is stronger. However, this linkage is weaker for technologies that are more novel or general. On most occasions, the nature of innovation was less responsive to policy shock.

This paper contributes to the debate on the nature of innovation by determining whether upstream innovation has strong predictive power on future innovation. The authors develop the assumption used in the technology spillover literature by considering a time-variant, directional and asymmetric matrix to model technology diffusion. For the first time, the authors answer how the nature of innovation will vary depending on the technology network configurations and policy environment. In addition to contributing to the academic debate, the authors' study has important implications for economic growth and industrial or innovation management policies.

This paper attempts to address three key objectives. The primary aim is to enhance sourcing strategy for a centralized and coordinated multitier multiple suppliers networks with uncertain demand and supplier failure risks. The second objective is to enumerate all possible practical supplier(s) failure scenarios and quantify expected loss of demand cost. Finally, the work illustrates statistical experimentation to identify “influential” variables that can significantly impact the expected supply network and loss costs.

A seven-step solution framework is proposed to derive an optimal sourcing strategy for the specific network configuration with varied supplier failure scenarios. Five distinct models are formulated to address all possible scenarios of supplier failure events. Mixed-integer nonlinear programming technique is used to derive expected supply network cost and loss cost. The solution framework is verified using a real-life case.

A cross-case analysis indicates that an increase in suppliers' failure risk (SFR) probabilities or customer demand rate increases the expected loss of demand costs for a multitier supply network. Besides, an increase in unit component prices increases the expected supply network cost.

A two-tier automotive supply network for a single product is considered for all case studies.

The enhanced strategy can facilitate practitioners enumerate different supply network failure scenarios and implement the best solution.

There is no evidence of earlier research to derive optimal sourcing strategy for a centralized, coordinated multitier multiple supplier's network, considering demand uncertainties and SFR.

The purpose of this paper is to describe different ways in which a buyer and supplier can be embedded in a dyadic relationship and how these differences influence patterns of inter-firm innovation activities and outcomes. Specifically, to address the relative paucity of theoretical work on how dyadic configurations influence parties’ joint innovation behavior, this study examines how different buyer-supplier embeddedness (BSE) configurations change the four choices that pertain to the levels of involvement buyers and suppliers exhibit in inter-firm innovation activities. These choices concern the processes buyers use to engage suppliers; the scope of efforts in each party; the locus of effects determining the beneficiaries; and the extent to which parties disclose private innovations within the relationship.

Drawing on social embeddedness literature, the authors conceptualize dyad level, BSE in two dimensions: relational and structural. The relational dimension describes the quality of relationship, while the structural dimension describes the intensity of exchanges between the parties. Together these dimensions allow the authors to map the differences in BSE configurations and provide a basis for exploring their links to inter-firm innovation patterns.

The authors demonstrate the configurational approach to the innovation patterns in inter-organizational setting. That is, the authors conclude that different configurations of BSE are likely to produce distinctive patterns of choices for inter-firm innovation activities.

This study applies social embeddedness perspective to conceptualize dyadic BSE. Adoption of this concept allows dimensionalizing the dyadic relationships into two distinct dyadic elements, relational, and structural dimensions. Also, the concept has rich implications for how partner firms interact and share information. The dyad’s innovation potential and patterns are considered based on the configurations of dyadic embeddedness.