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Digital-only banks are emerging as challenger banks to the traditional-bank business model in South Africa. However, traditional-bank customers could resist the use of digital-only banks, theoretically due to their satisfaction with the status quo. Consequently, inertia arising from bias to traditional banks based on status quo satisfaction could engender their resistance to become customers of digital-only banks. The objective of the study, therefore, is to investigate how traditional-bank customers' inertia influences digital-only bank resistance.

Based on a literature review, digital-only bank adoption barriers and cognitive-based initial distrusting beliefs were identified as mediators of the influence of inertia on digital-only bank resistance. To test the mediation model empirically, data was collected from 610 traditional-bank-only customers.

The five adoption barriers fully mediate the influence of inertia on cognitive-based initial distrusting beliefs. The five barriers in serial with cognitive-based initial distrusting beliefs partially mediate the influence of traditional-bank customers' inertia on digital-only bank resistance. Cognitive-based initial distrusting belief is an essential factor in the mechanism underlying the influence of traditional-bank customers' inertia on digital-only bank resistance.

Digital-only banks are relatively new. Research is therefore lacking in consumer behavior explaining the use of digital-only banks by traditional-bank customers in the South African context. A further novelty of the study is the empirical assessment of mechanisms that explain the influence of inertia on cognitive-based initial distrusting beliefs, and the influence of inertia on resistance behavior.

This paper aims to consider each strategy of the particle swarm optimization (PSO) as a unit in data envelopment analysis (DEA) and uses the minimax mixed-integer linear programming DEA approach to find the most suitable inertia weight strategy. A total of 15 inertia weight strategies were empirically examined in a suite of 42 benchmark problems in the view of DEA.

PSO is very sensitive to inertia weight strategies, and therefore, an important amount of research attempts has been concentrated on these strategies. There is no research into the determination of the most suitable inertia weight strategy; however, there are a large number of comparisons related to the inertia weight strategies. DEA is one of the performance evaluation methods, and its models classify the set of strategies into two distinct sets as efficient and inefficient. However, only one of the strategies should be used in the PSO algorithm. Some effective models were proposed to find the most efficient strategy.

The experimental studies demonstrate that an approach is a useful tool in the determination of the most suitable strategy. Besides, if the author encounters a new complex problem whose properties are known, it will help the author to choose the best strategy.

A heavy oil thermal cracking three lumps model for the simplification of the reaction system was used because it is an important complicated chemical process. In addition, the soil water retention curve (SWRC) plays an important role in diverse facets of agricultural engineering. As the SWRC can be regarded as a nonlinear function between the water content and the soil water potential, Van Genuchten model is proposed to describe this function. To determinate these model parameters, an optimization problem is formulated, which minimizes the difference between the measured and modeled data.

In this paper, the PSO algorithm is integrated with minimax mixed-integer linear programming to find the most suitable inertia weight strategy. In this way, the best strategy could be chosen for a new more complex problem.

Built upon the push–pull–mooring framework, this study explores the factors that affect user switching from blog to microblogging. Low social presence is posited to form the push effect of blog, whereas larger referent network size and relative ease of use work together to shape the pull effect of newly emerging microblogging. Furthermore, adopting the status quo bias theory and habit literature as theoretical lens, affective commitment, switching costs and habit are regarded as important sources of inertia. Inertia is presumed to play a key role in mooring effects because it negatively affects switching intention and attenuates the main effects of pull and push factors. More importantly, the effects of affective commitment, switching costs and habit on switching intention are fully mediated through inertia.

An empirical study of 239 users who use blog and microblogging services concurrently was conducted in China.

Our findings indicate that low social presence pushes bloggers away, whereas relative ease of use pulls them to the microblogging. Affective commitment, switching costs and habit are important sources of inertia. In the context of this study, inertia fully mediates the relationship between habit and switching intention, and only partially mediates the effect of affective commitment and switching costs on switching intention. Furthermore, inertia negatively moderates the relationships between social presence, relative ease of use and switching intention.

This study expands our understanding of online service switching mechanism, and identified key factors in IT switching, such as social presence, affective commitment and inertia. We believe that these mechanisms and key factors are not necessarily limited to online services, but are largely applicable to other contexts in which people interact with technology. This study builds a useful foundation for future research.

Although recent public attention has focused on boom-and-bust cycles in industries and financial markets, organizational theorists have made only limited contributions to our understanding of this issue. In this chapter, I argue that a distinctive strategic insight into the mechanisms generating boom-and-bust cycles arises from a focus on entrepreneurial inertia – the lag time exhibited by organizational founders or investors entering a market niche. While popular perceptions of boom-and-bust cycles emphasize the deleterious effect of hasty entrants or overvaluation, I suggest instead that slow, methodical entries into an organizational population or market may pose far greater threats to niche stability. This proposition is explored analytically, considering the development of U.S. medical schools since the mid-18th century.

Based on mental accounting theory, this study explored whether the comparability of missed and subsequent promotional formats/frames affects inaction inertia.

Four experiments with imaginary and incentive-compatible designs were conducted to test the hypotheses.

Consumers are more likely to express inaction inertia after having missed a comparable promotion than after having missed a noncomparable promotion. Devaluation of the promoted target mediates the impact of comparability on inaction inertia, while referent others' actions do not moderate the comparability effect. Finally, when consumers accept a subsequent inferior promotion, they prefer using a different payment format because it reduces comparability of the two promotions.

Companies should use different promotional formats/frames to reduce comparability and inaction inertia when a new promotion is relatively inferior to a recent previous one. Companies should offer different payment options to help customers actively avoid comparing a current promotion with a missed promotion.

This study provides a more comprehensive conceptual structure for understanding the relationship between psychological comparability and inaction inertia. It provides insights into what actions companies should take to reduce inaction inertia. Furthermore, this study empirically tests the influence of multiple comparison referents, which provides a reference point for future studies on the factors affecting inaction inertia. A new method to examine whether consumers actively avoid comparisons is used, which clarifies the internal mechanism of inaction inertia.

The purpose is to analyse the influence of inertia and group conformity on loyalty in healthcare.

Structural equation model developed from the literature and tested with cross-sectional data from a patient online survey.

Inertia is a significant antecedent of loyalty and has a stronger effect in healthcare than in other service sectors. Group conformity has no significant effect in healthcare.

The strength of the impact of inertia [group conformity] on loyalty depends on the importance of the customer need that the service industry satisfies, in Maslow's hierarchy of needs. Where inertia (stability need) is equally or more [less] important than the customer need, the influence of inertia on loyalty should be positive and strong [weak or insignificant]. In services that satisfy needs more [equally or less] important than group conformity (belonging need), there may be an insignificant [significant] influence of group conformity on customer loyalty, even [especially] in credence services.

Healthcare providers can exploit the stronger effect of inertia in healthcare through development of inertia-based loyalty policies. Regulatory authorities should be vigilant to ensure that these policies are not detrimental to patients. ‘Inert’ patients must become responsible for assessing their loyalties. Authorities and reference groups must stimulate customer loyalty assessments, and assist by providing impartial information.

This is the first study to address the influence of inertia and group conformity on loyalty in the healthcare sector and, from the perspective of Maslow's hierarchy of needs, it is the first to do so in any service sector.

This study aims to explore the impact of organizational search (local and boundary-spanning search) on business model innovation (efficiency-centered/novelty-centered business model innovation) and the moderating role of knowledge inertia between them.

The relationships are examined through data provided by a sample of Chinese firms and by multiple hierarchical regressions.

Local search has a stronger effect on efficiency-centered business model innovation, whereas boundary-spanning search plays a stronger role in novelty-centered business model innovation. Knowledge inertia strengthens the effect of local search on efficiency-centered business model innovation but weakens the effect of boundary-spanning search on efficiency-centered business model innovation and the effect of local search on novelty-centered business model innovation.

The findings enable firms’ managers to understand the subtle ways in which organizational search interacts with knowledge inertia to affect business model innovation and may help them to make knowledge management efforts to harvest the full value of organizational search.

Previous studies have not examined the effect of different organizational search on different business model innovation from knowledge management perspective. With knowledge inertia as the moderator, the results reveal the contingent impact mechanism of organizational search on business model innovation, the findings provide fresh evidence that can bridge the gap between knowledge management and business model innovation.

Shopping statistics indicate that online shoppers prefer purchasing products using the desktop website of the retailer, rather than using the mobile website on a mobile phone to purchase products (mobile website purchasing). Therefore, using status quo bias theory, this study aims to investigate mobile website purchasing resistance of those customers using only desktop website purchasing.

To test the conceptual model an online questionnaire was used to collect data from customers purchasing products using only the desktop website on a computer (n = 484) and not the retailer’s mobile website.

Due to cognitive dissonance, customers using only desktop purchasing trivialize mobile website purchasing perceived attractiveness while perceiving more cognitive effort in mobile website purchasing to maintain consonance with their inertia. Further, relative advantage perceptions of mobile website purchasing lead to more trivialization of mobile website purchasing attractiveness perceptions. Desktop purchasing inertia enhances resistance through alternative attractiveness and cognitive effort perceptions, respectively, and cognitive effort and alternative attractiveness perceptions in serial. Desktop purchasing habit has the strongest positive influence on desktop purchasing inertia.

This study was conducted in a high-involvement product context. Replication in a low-involvement product context is necessary to confirm the robustness of the results.

Retailers can use the findings to develop strategies to lower mobile website purchasing resistance in an online-mobile concurrent channel environment.

The study provides novel insights into mobile website purchasing resistance in an online-mobile concurrent channel environment. Further, the study addresses the gap in research on inertia and switching costs in the adoption of concurrent channels.

The purpose of this paper is to examine the following research question in partner selection decisions in business-to-business strategic partnerships/collaborations literature: How do inertia and uncertainty affect partner selection? Explicitly, the paper analyzes how inertia of previous alliance selection routines and uncertainty of entire market movement shape firms’ preferences regarding exploratory partner selection (i.e. selecting new partners who never collaborate with the focal firm).

Grounded on inter-firm partnerships, partner selection and network theory literature, the study empirically tests a fine-grained sample of 511 open-end funds initiated by 61 fund management firms in China. To do so, it runs Tobit regression for main analysis and applies a variety of sensitivity analyses to check the robustness.

Results show that inertia in previous partner selection has a negative effect on exploration. Importantly, these inertial forces impact domestic firms but not international firms. Market uncertainty also affects exploratory partner selection: short-term market uncertainty encourages exploration, whereas long-term uncertainty inhibits it. These effects also depend on firms’ type: long-term market uncertainty has a negative effect on exploration for international firms but not for domestic firms. Both types of firms exhibit a stronger tendency toward exploration when they encounter short-term uncertainty. However, this inclination is stronger in international firms.

Earlier research has examined how inertia affects exploitation but largely overlooked its effect on exploration. A critical examination of firm and environment level factors provides a deeper understanding of why and when firms have inconsistent preferences for specific partner selection strategies. Thus, this study offers a unique perspective for understanding firms’ exploratory partner selection by focusing on two important characteristics of focal firms: one internal (inertia) and one external (market uncertainty) in nature.

The purpose of this paper is to present a method to obtain the inertia parameter of a captured unknown space target.

An inertia parameter identification method is proposed in the post-capture scenario in this paper. This method is to resolve parameter identification with two steps: coarse estimation and precise estimation. In the coarse estimation step, all the robot arms are fixed and inertia tensor of the combined system is first calculated by the angular momentum conservation equation of the system. Then, inertia parameters of the unknown target are estimated using the least square method. Second, in the precise estimation step, the robot arms are controlled to move and then inertia parameters are once again estimated by optimization method. In the process of optimization, the coarse estimation results are used as an initial value.

Numerical simulation results prove that the method presented in this paper is effective for identifying the inertia parameter of a captured unknown target.

The presented method can also be applied to identify the inertia parameter of space robot.

In the classic momentum-based identification method, the linear momentum and angular momentum of system, both considered to be conserved, are used to identify the parameter of system. If the elliptical orbit in space is considered, the conservation of linear momentum is wrong. In this paper, an identification based on the conservation of angular momentum and dynamics is presented. Compared with the classic momentum-based method, this method can get a more accurate identification result.