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The purpose of this paper is to explore the use of chiral single‐walled carbon nanotubes (SWCNTs) as mass sensors. Analysis of SWCNT with chiralities is performed using an atomistic finite element model based on a molecular structural mechanics approach.

The cantilever carbon nanotube (CNT) is modeled by considering it as a space frame structure similar to three‐dimensional beams and point masses. The elastic properties of the beam element are calculated by considering mechanical characteristics of covalent bonds between the carbon atoms in the hexagonal lattice. The mass of each beam element is assumed as point mass at nodes coinciding with carbon atoms. An atomistic simulation approach is used to find the natural frequencies and to study the effects of defect like atomic vacancies in CNTs on the resonant frequency. The migration of the atomic vacancies along the length is observed for different chiralities.

A reduction in the simulated natural frequency is observed with the maximum value occurring, when the vacancy is found nearer to the fixed end. It is quite evident from the simulation results that the effect of vacancies is significant, and the effect diminishes at 10⁻² femtograms mass. Using the higher modes of vibration of SWCNT‐based mass sensors, the amount and the position of the mass on the nanotube can be identified.

CNT have been used as mass sensors extensively. The present approach is focused to explore the use of chiral SWCNT as sensing device with vacancy defect in it. The variation of the atomic vacancies in CNT along the length has been taken and is analyzed for different chiralities. The effects of defect like atomic vacancies in CNTs on the resonant frequency have been analyzed and observed that the maximum reduction in natural frequency occurs when the vacancy is found nearer to the fixed end due to large stiffness variation.

The London Interbank Offered Rate (LIBOR) is considered to be the most important interest rate in finance upon which trillions in financial contracts are decided. In 2008, it was revealed that the LIBOR traders were rigging the interest rates. Yet, there is an unresolved question that regulators and banking officials did not address in their quest to seek answers to the fraud: Were the banks under financial strain when they underreported their LIBOR rates? To answer this question, the article posits that the pressure to meet market expectations led the banks to experience financial strain. Data were gathered from 2004 to 2008 on the banks that were involved in the fraud (fraud banks) and matched with a control group of non-fraud banks. The results from a logistic regression model found sufficient statistical evidence to support the claim that fraud will be greater in banks characterized by a higher level of organizational complexity. Variables such as percent of outside directors, board members on the audit committee, and number of employees were all found to be statistically significant. These variables may offer key insights into detecting and preventing frauds in banks.

There are several lead-free solder alloys available in the industry. Over the years, the most favorable solder composition of tin-silver-copper (Sn-Ag-Cu [SAC]) has been vastly used and accepted for joining the electronic components. It is strongly believed that the silver (Ag) content has a significant impact on the solder mechanical behavior and thus solder thermal reliability performance. This paper aims to assess the mechanical response, i.e. creep response, of the SAC solder alloys with various Ag contents.

A three-dimensional nonlinear finite element simulation is used to investigate the thermal cyclic behavior of several SAC solder alloys with various silver percentages, including 1%, 2%, 3% and 4%. The mechanical properties of the unleaded interconnects with various Ag amounts are collected from reliable literature resources and used in the analysis accordingly. Furthermore, the solder creep behavior is examined using the two famous creep laws, namely, Garofalo’s and Anand’s models.

The nonlinear computational analysis results showed that the silver content has a great influence on the solder behavior as well as on thermal fatigue life expectancy. Specifically, solders with relatively high Ag content are expected to have lower plastic deformations and strains and thus better fatigue performance due to their higher strengths and failure resistance characteristics. However, such solders would have contrary fatigue performance in drop and shock environments and the low-Ag content solders are presumed to perform significantly better because of their higher ductility.

Generally, this research recommends the use of SAC solder interconnects of high silver contents, e.g. 3% and 4%, for designing electronic assemblies continuously exposed to thermal loadings and solders with relatively low Ag-content, i.e. 1% and 2%, for electronic packages under impact and shock loadings.

The evolution of Knowledge-Management (KM)-related literature has highlighted that Knowledge Management Systems (KMSs) have undergone massive changes in collaborative environments. Information-Systems-enabled KM seems to be the necessary response to the recent challenges posed by globalisation and technology dynamics to both large companies (LCs) and small and medium enterprises (SMEs).

This paper provides a systematic review about KMSs to offer an analytical overview of their role in supporting innovative forms of knowledge translation occurring in collaborative relationships. A sample of 129 papers was selected and analysed according to three perspectives: unit of analysis (LCs, SMEs), phases of the KM process (adoption, translation) and topic area (KM Practices, KM Tools, KMSs).

The findings highlight five literature gaps: (1) the role of KM practices supporting knowledge translation; (2) the impact of the alignment among KM practices, firm's complexity, dimension and culture on KM process; (3) the effect of KM tools on knowledge translation; (4) the variety of KMSs exploited in both LCs and SMEs; and (5) the alignment between organisational structure and information systems in KM context. Accordingly, 13 research questions were formulated.

The proposed research questions define a formal research agenda that could steer further research efforts about the KMS topic for improving the body of knowledge in the KM field. Scientific literature is currently lacking a contribution assessing the role of KMSs in supporting innovative forms of knowledge translation that occur in collaborative relationships.

Scholarship on workplace diversity, equity, and inclusion (DEI) is voluminous. Nevertheless, there is relatively little work that examines DEI from an organization development and change (ODC) or systems perspective. As a result, there is no unified framework ODC practitioners can use for DEI diagnosis and intervention. The purpose of this chapter is to review the ODC literature with respect to DEI and propose a diagnostic Context-Levels-Culture (CLC) framework for understanding and addressing diversity-related challenges in organizations. We also present a case example of how this framework can be used in DEI consulting, including implications for future research and practice.

Productivity improvement is key to sustainability performance improvements of organizations. In a real-world scenario, the nature of inputs and outputs is likely to be imprecise and vague, leading to complexity in comparing firms' efficiency measurements. Implementation of fuzzy-logic based measurement systems is a method for dealing with such cases. This paper presents a fuzzy weight objective function to solve Data Envelopment Analysis (DEA) CCR model for measuring paper mills' performance in India for 15 years.

An integrated methodology is proposed to solve DEA models having fuzzy weights. The fuzzy DEA methodology is an extended version of the DEA approach that researchers have used for performance measurement purposes in imprecise and vague scenarios. The ecological performance of the paper industry is evaluated, considering some desirable and undesirable outputs. The effect of non-discretionary input on the performance of a paper mill is also analyzed.

Analysis suggests that the productivity of the paper industry is improving consistently throughout the period. The comparative evaluation of methods suggests that a diverse cluster of DMUs and integration of DEA with the fuzzy logic increases the diversity in the efficiency score while DEA-DE imitates the results of CCR DEA.

Proposed a fuzzy DEA-based analytical framework for measuring the paper industry's ecological performance in an imprecise and vague scenario. The model is tested on data from the paper industry in a developing country context and comparative performance analysis using DEA, fuzzy DEA and DE algorithm is done.

Meetings are conducted by increasingly age-diverse participant groups as the workforces in most industrialized economies are aging due to demographic change. There are at least three reasons why meetings constitute a particularly interesting environment to study intergenerational learning processes, defined as individuals’ joint construction of knowledge through an exchange of information with one or more individuals from different age groups. First, meetings allow us to observe a wide variety of interactions that may foster or inhibit intergenerational learning. Second, the interactions taking place in meetings reflect general organizational practices as well as social exchange and age norms. As such, meetings offer a view through the magnifying glass at the age-inclusive or age-discriminating organizational culture which is interwoven with the engagement of different generations in intergenerational learning processes. Third, organizational members use meetings as an arena for strategic interactions to negotiate their current and future status by positioning themselves in relation to their colleagues through social comparisons. This chapter particularly focuses on the latter topic and develops a conceptual model outlining the motivational and emotional coˇnsequences as well as antecedents that link social comparison processes in meetings to intergenerational learning outcomes of participants from different age groups.

Extant research posits that mergers and acquisition (M&As) do not create value. Still many firms adopt expansion strategies such as alliances, joint ventures (JVs), and M&As to grow and enhance their performance. Through performing a meta-analysis on 204 papers that assess the relationship between the three most prevalent expansion strategies formed by firms, alliances, JVs, and M&As and their different substantive and symbolic performance effects, this study contributes in two ways. First, it becomes clear that alliances and M&As enhance a firm’s substantive performance, while no positive performance effect is observed for JVs. In turn, all three expansion strategies boost a firm’s symbolic performance in terms of its legitimacy and status. Second, a distinction between their effects on a firm’s substantive performance in terms of their market-based and accounting-based performance shows that alliances and M&As both positively contribute to a firm’s accounting-based performance, while only the former spurs a firm’s market-based returns. This indicates that M&As have more long-term accounting-based performance effects compared to alliances and JVs, which suggests that in the long-term firms do best by expanding through M&As.