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Environmental volatility is a central construct in strategy studies. This paper argues that three factors confound the literature on volatility: asymmetry in conceptualization, asymmetry in operationalization, and lack of attention to level of analysis. These limitations inhibit the development of the concept and make much of the research on volatility non‐additive. However, environments do matter and to make better sense of it we need a meta‐conceptualization. To do this, the paper presents a process‐based resources‐oriented view of volatility that argues that the volatility experienced by the firm is largely a function of the resources it has available to meet the demands made of it. It is proposed that volatility originates from four basic resource configurations: managerial‐human resources configuration, physical resources‐conversion configuration, intangible resources configuration, and positional configuration. Propositions consistent with prior theories and incorporating the new resources‐oriented viewpoint are presented and discussed.

The use of multiple channels is increasingly an option for many products. Yet, despite their popularity, little is known in a systematic way about such channel structures. In particular, there is a lack of research in respect of the reasons why multiple channels of distribution emerge. This work proposes to attempt to deal with this problem by developing and testing a model comprising a set of hypotheses regarding the circumstances under which companies go multi‐channel.

The work draws on the organisational environment literature and, in particular, the sources of environmental uncertainty. Data were collected from firms in the UK financial services industry through personally administered questionnaires. Research hypotheses were tested using logistic regression.

The results suggest that customer heterogeneity, customer volatility and environmental conflict positively influence the choice of multiple channels, whereas intermediary heterogeneity and volatility may reduce the need to use such channel strategies.

The extent to which results can be generalised is limited by the relatively small sample size and by the focus on financial services. Additionally, it is also possible that channel typologies other than that considered in this study might have yielded different results.

The degree of environmental uncertainty is an important issue affecting multiple channel choices, and should be considered at the channel design stage.

This study has helped understand the drivers of multiple channel strategies, a poorly understood topic.

The purpose of this paper is to investigate the effect of predictors of growth (entrepreneurial orientation (EO) and environmental hostility) and growth itself on small-firm volatility. The objective is to find out: first, whether growth and volatility possess a similar nature; second, what are the predictors of small-firm volatility.

Questionnaire data were collected from CEOs of 433 Spanish small firms (<500 employees) who provided qualitative as well as quantitative information.

The authors find that some of the predictors on growth can also be used to predict firm volatility. Specifically, the authors find that firm volatility is influenced by EO and environmental hostility. Growth also influences firm volatility. The authors also find a strong interaction effect of growth and firm size on firm volatility. The authors conclude that although growth and firm volatility are related concepts, they are different.

Growth has concentrated small-firm research during the last 20 years. However, during the last few years, the environment has become very dynamic and small firms need research helping them to deal with such dynamism. There are few studies on firm-level volatility. The research helps understand more the determinants of small-firm volatility.

To achieve digital transformation, organizations have continued to rely on integrating the capabilities of information technology (IT) to facilitate decision-making and developing their reconfiguration capability to enhance agile operations. The pressure imposed by digital transformation necessitates investigations on leveraging different IT capabilities to attain substantial organizational agility in an optimal configuration. This study aims to provide a new perspective on balancing IT structural capabilities and proposes a framework for evaluating their coalignment and complementary returns based on resource orchestration theory.

A multi-method approach is used to evaluate the research model. This study tests hypotheses and explores the potential coalignment and complementary returns of balance in structural models and response surface analysis. Then, it analyzes the qualitative data and provides complementary findings to corroborate and confirm complex relationships.

Balanced structural IT capabilities facilitate organizational agility but cooperate differently with internal (e.g. IT proactive stance) and external (e.g. environmental volatility) environmental factors. Balance between IT integration and reconfiguration must be maintained from several approaches during search/selection and configuration/deployment.

This study theorizes and empirically investigates the interactive mechanisms of two IT capabilities in influencing organizational agility under different boundary conditions. It enriches the understanding of balancing capabilities for organizational agility in digital transformation.

A conceptual framework of supply chain volatility (SCV) is developed to help researchers and practitioners converge their discussions and understandings on this vital phenomenon. Sources, dimensions and moderators of SCV are investigated and a conceptual framework is proposed. The paper aims to discuss these issues.

Data triangulation was performed through reviewing 2,789 peer-reviewed articles and conducting a group exercise with 23 practitioners. Consequently, 364 sources were identified. Through a structured synthesis process that built on the Q-methodology with multiple academics, a framework of meta-level sources, dimensions and moderators of SCV was developed. An additional on-site meeting with 17 practitioners was conducted aiming at delineating the dimensions by their effect on SCV.

The authors propose 20 meta-level sources that contribute to five distinct dimensions of SCV, proposing behavior of customers and decision makers as contextual moderating variables. A classification scheme consisting of three descriptive SCV-affecting characteristics is proposed to delineate the dimension’s effect on SCV: relative deviating impact, repetitiveness and influenceability. Results are summarized in 15 propositions.

The paper extends knowledge on SCV and provides a coherent conceptualization of the phenomenon for future research. The proposed framework demands quantitative testing to derive more reliable conclusions.

The framework aims at reducing the gap between research and practice. It helps managers to understand researchers’ discussions and how to derive expedient implications from them.

It is the first study that systematically synthesizes widely spread literature in this field to derive a conceptual framework that seeks to explain SCV in a holistic way.

The purpose of this paper is to examine the impact of business volatility on employee performance.

The authors use regression analysis to examine the authors’ research question.

The results suggest that business volatility has a significant and positive impact on employee performance. Furthermore, the authors find that the relationship between business volatility and employee performance is stronger for larger firms and firms with higher labor intensity.

The study links and contributes to two streams of literature: employee/labor cost management from the accounting literature and business volatility from the management literature. Whether business volatility affects employee performance remains an interesting question that has not been definitively answered empirically. To the best of the authors’ knowledge, this is the first empirical study that directly examines the relationship between business volatility and employee performance at the firm level.

The purpose of this study is to explore the mediation effect of volatile economic conditions on performance benefits of successful kean manufacturing implementation (LMI). The mediating factor of economic volatility (EV) is constructed based on four macroeconomic dimensions – supplier uncertainty, market demand fluctuations, governmental policy changes and peer competition.

An attempt is made to build an exhaustive list of the internal operational manifests grouped into one human and three technical input factors. Similarly the benefits accrued are collated under two performance measures – customer satisfaction (CS) and organizational goal satisfaction (OGS). Based on data from the Indian manufacturing sector, structural equation modelling (SEM) and ordinary least square (OLS) analyses are carried out to validate the proposed model.

Results of the structural model validate the first six hypotheses posited in the model. Results of OLS further reveal the mediation effect of EV having negative impact on LMI–CS and LMI–OGS nexus.

This research offers a fair understanding of the internal operational lean factors and the effect of volatile macroeconomic conditions on lean benefits. The structural model will aid the academicians and lean implementers comprehend the dimensional structure underlying the lean practices and beliefs. This work further helps to understand the moderation effect of environmental complexity on the output measures of LMI in the Indian manufacturing sector.

This work is one of the very first empirical analyses of lean performance under contingent economic conditions. The paper presents a valuable recommendation to practitioners for considering the dynamism of external economic environment instead of simply adopting standalone internal lean parameters, if satisfactory levels of performance in terms of CS and OGS are to be achieved.

This study investigates interrelationships between environmental sector volatility and influence of organisational stakeholders. Environmental sectors considered include economic, political, social, technological, and competitive. Stakeholder groups assessed are customers, stockholders, creditors, suppliers of key materials and employees. Pearson correlations are used to identify significant associations between: (1) stakeholder groups, (2) environmental sectors and (3) stakeholder groups and environmental sectors. Numerous significant associations are identified between influence of stakeholders and volatility of environmental sectors. Regression analyses are performed to determine the predictive power of sector volatility on stakeholder influence. Significant models were formed for predicting influence of three stakeholder groups; customers, creditors and employees.

Mintzberg has severely criticised the current state of strategic planning practices (1994). So thorough was his condemnation of planning, plans and planners that Peters, in a brief review of Mintzberg's work, offered a eulogy to strategic planning as we know it, “Rest In Peace” (1994). However, after arguing convincingly against the effectiveness of strategic planning in all situations, Mintzberg does suggest that there may be situations or certain contexts in which strategic planning is beneficial (1994).

This study aims to examine connections between five variables, including innovation in environment-related technology (EI), trade openness (TRADE), CO₂ emissions (CO₂) and foreign direct investment (FDI) from 1994 to 2019.

This study used an extended joint connectedness technique and the time-varying parameter vector autoregression (TVP-VAR) method. The analysis focuses on the variables of innovation in environment-related technology (EI), trade openness (TRADE), CO₂ emissions (CO₂) and foreign direct investment (FDI) using data from 1994 to 2019.

The results demonstrate that innovation in environment-related technology and an openness to the global network captured by FDI are identified as crucial net transmitters of shocks. In addition, an openness to the global trade network captured by TRADE turns from a transmitter to a receiver of shocks and vice versa. Moreover, it can be seen that the impact of EI was significant in the first five years of the observed period, and it transmitted the largest shock in 1997.

With regard to policy implications, the findings offer valuable insights for investors and policymakers. As the tradeoff between business efficiency and environmental sustainability diminishes, it is essential for Vietnam’s economy and enterprises to embrace green and sustainable growth in line with global trends. In a world characterized by uncertainties and risks, enterprises need to develop strategies to manage risks and shocks arising from geopolitical tensions, input material supply, financial–monetary instability and natural disasters.

This study contributes to the existing literature in two significant ways. First, as previously emphasized, this paper represents the first attempt to investigate the relationship between economic globalization and environmental innovation. Second, this study proposes a novel methodology that is better suited for analyzing volatility interlinkages across different market types.