Introduction
In recent 20 years, modern business organizations are experiencing a highly turbulent environment, where their operations and performance are strongly shaped by a wide range of factors, including technological advancements, complementary obligations, time-to-market pressures, and intense competition (Bondzi–Simpson and Agomor,
2021; Bruque-Camara et al.,
2016; Harsch & Festing,
2020). This aggravating environment has elevated pressure on business organizations to continuously adjust and predestine their strategies and operational systems in ways that promote effectiveness and efficiency (Calleja et al.,
2018; Chikhale & Mansouri,
2015). Under such circumstances, the most crucial and essential strategy is that organizations should develop their capabilities to willingly sense and respond to external modifications and be agile (Kushwaha et al.,
2021; Vaishnavi & Suresh,
2020). Organizational agility is considered as the ambidextrous strategy of a company to react to environmental modifications, while enhancing firms’ capabilities to avail dynamic opportunities and discover new avenues (DeGroote & Marx,
2013; Harsch & Festing,
2020). Here, it is worth stating that viewing organizational strategy through the lens of the dynamic capability theory is a captivating rationale, as agility is described as a strategy essential to maintain firms’ investments that help sustain in the unpredictable and turbulent environment (Bondzi–Simpson and Agomor,
2021; Green et al.,
2019; Vaishnavi & Suresh,
2020).
Consequently, the hasty pace of intense universal competition, technological development, and cursory modifications and changes in customer expectations and preferences illustrate that the firm’s dynamic capabilities should have the capacity to detect, implement, and react to the adjustments and modifications within such business environments (Harsch & Festing,
2020; Kim et al.,
2011; Kushwaha & Kar,
2020a). Among those confounding factors, information technology (IT) is becoming progressively crucial (Gao et al.,
2020; Kohli & Grover,
2008; Kushwaha et al.,
2021). Accordingly, IT pioneers have jumped to this change bandwagon to establish immediate and comprehensive collaborative settings, consolidating the collective knowledge and resources of all partner firms in order to constitute a greater IT network resources and capabilities that generate effective response to environmental modifications (Kushwaha et al.,
2021; Lowry & Wilson,
2016). This intervention and wider applicability of IT can be analyzed from the infrastructural and value-driven aspects (Han et al.,
2017).
More specifically, the issues of infrastructure are typically witnessed in connectivity, compatibility, and hardware (Zhang et al.,
2009), while value creation includes the issues in workflow and procedures (Athey & Schmutzler,
1995). Amid the COVID-19-induced restricted workplaces, IT interventions provide infrastructural and value creation services that can be accessed from the remote areas. The eruption of pandemic has intensified the need for organizational agility. Therefore, it has become necessary to devise framework and information systems that foster development agility for the organizations. The demand for products that can be updated by the firmware has been increased, and this has led to the rise in demand of software that can be upgraded according to the customers’ needs (Kushwaha & Kar,
2020a). Therefore, the likelihood of the outbreak of another pandemic has urged firms, governments, and populace to devote further attention to agility and resilience (Batra,
2020). Similarly, e-business proactiveness and collaborative knowledge have a greater positive role in magnifying the effectiveness of organizational agility to response to the COVID-19-led crisis (Al-Omoush et al.,
2020).
Nevertheless, since the last decade, scholars have been extremely attracted toward adopting the dynamic capabilities view (DCV) in there conceptual models due to the alteration in the market needs and necessities, which is considered as an extension of resource-based view (RBV). Firms need to develop dynamic capabilities for creating, extending, and modifying the ways to enhance their opportunities to survive and prosper under challenging environments (Harsch & Festing,
2020; Helfat et al.,
2007). The advancement of theoretical arguments has decomposed the dynamic capabilities of IT sector into a series of identifiable and specific routines, rather than making it an elusive concept (Zhan et al.,
2018).
One crucial aspect contributing to the effectiveness of managerial interventions in turbulent environments and managers’ competence in directing a preferred agility/efficiency nexus is a better understanding of how to distinguish between uncertainty and risk (Bondzi–Simpson and Agomor,
2021; Candace et al.,
2011). Organizational agility cannot be evaluated independently from a consideration of uncertainty, budgets, costs, risk, strategy, and commitment (Kozioł-Nadolna,
2020). A general framework becomes a prerequisite for managers in grappling complex and interdependent issues effectively. In the IT industry, dynamic capabilities can be separated analytically from the strategic formulation, but must be linked to the strategic direction that appears from the strategic process. A strategy that is congruent, accommodating, and cohesive of innovation is just as important as dynamic capabilities (Gupta & Gupta,
2019; Rajapathirana & Hui,
2018). Therefore, dynamic capabilities need to be developed and implemented mutually while capabilities and strategy can be analytically separated.
Here, it is worth mentioning that this domain of knowledge has received considerable attention of both practitioners and academics in the last 20 years. However, much of the work has been conducted in the context of adaptability, alignment, resilience, and agility. Although the recent evidence has highlighted the need of dynamic capability variables in different contexts, the role of these resources has received scant attention and has not been examined for organizational agility (Dubey et al.,
2021). Further, a broad review of the existing literature will substantiate an apparent lack of understanding and evidence regarding the concept and dimensions of dynamic capability (Feizabadi et al.,
2019; Tan et al.,
2015). Thereby, researchers need to, comprehensively, investigate theories regarding any causal associations anticipated between practices, performance, and capabilities by examining the indirect effect of other contextual factors. In addition, there is a significant gap in the portrayal of the particular procedures integrated by IT managers for learning internal business requirements and codifications (Kar et al.,
2021). Further, the topic of IT capabilities and their impact on the performance of the IT sector in developed countries is extensively debated (Brusset & Teller,
2017; Yu et al.,
2018). However, limited studies have focused on the role and prominence of dynamic capabilities with reference to organizational agility in settings and circumstances that represent emerging economies like the Middle East (Yu et al.,
2018; Zhan et al.,
2018).
It seems rational to state that the association between various aspects of dynamic capabilities (sensing, seizing, and transforming capabilities) and organizational agility follows concomitant paths and reflects implicit mechanisms. Therefore, we evoke IT capability to serve as a mediator between dynamic capabilities and organizational agility. In this essence, the integration of technical resources inside and outside an organization is primarily influenced by the IT infrastructure (Adikari et al.,
2021). For instance, there is a significant reduction in the operational costs due to rapid growth of cloud computing, which is beneficial for IT firms, as they can integrate technical resources using cloud-based shared resources (Bruque-Cámara et al.,
2016; Taghavifard & Majidian,
2022). A firm with adequate IT infrastructure will be more capable to strengthen the association between supply chain capabilities and organizational agility. Thereby, IT firms become more responsive and adaptive as their infrastructures develop foundation of information in the supply chain to fulfill the operational needs (Mikalef & Pateli,
2017; Shukla, Sushil and Sharma, 2019). Further, the operational performance and supply chain visibility are expected to be enhanced based on inter-organizational enterprise information systems (Liu et al.,
2013). Along similar lines, the agile performance of IT firms depends on the reinforcement of Internet-enabled technologies (Yusuf et al.,
2004). Advanced sets of IT capabilities are promoted based on the IT infrastructure. Previous studies have also treated IT infrastructure as the foundation that enables coordination of operations across the supply chain via the integration and synchronization of information and improvement in responsiveness toward customers (Adikari et al.,
2021; Kushwaha & Kar,
2020a,
2020b; Kushwaha et al.,
2020; Lee & Whang,
2004; Lu & Ramamurthy,
2011). That is, alignment holds substantial importance in improving firm performance (Shukla et al.,
2019). Therefore, it has become yet another front to be achieved in the IT sector (Cheng et al.,
2018). Taking the above together, it seems theoretically rational to propose a mediating role of IT capabilities on the dynamic–agility association.
Therefore, this study aims to fill the gaps found in previous studies and add to the current state of knowledge on this domain of organizational agility by investigating the impact of dynamic capabilities on organizational agility, along with examining the mediation influence of IT capabilities. The study also outlines different environmental settings facilitating worthiness of IT-enabled dynamic capabilities. The majority of the previous research attempts have concentrated on examining the attributes of agility (Appelbaum et al.,
2017a,
2017b; Gao et al.,
2020). Flexibility, culture of change, speed, integration and low complexity, mobilization of core competencies, responsiveness, high-quality and customized products have been considered as attributes or characteristics of organizational agility in previous studies (Sherehiy et al.,
2007). This study examines whether these dynamic capabilities are substantial in the strategic management and business management areas, and whether new sustainability narratives are effective from the perspective of dynamic capabilities to strengthen IT infrastructure at the cluster level. In particular, there is no collective accord regarding the organizational agility features. The fundamental constructs have not been appropriately operationalized as the emphasis of dynamic capabilities has mainly been on the consideration of theoretical underpinnings.
More specifically, the contribution of this study is quadruplicate. Firstly, the study has developed a theoretical framework for studying the association between organizational agility and dynamic capability. This association has not been evaluated in the literary articles with reference to their effects in the IT sector based on dynamic capabilities. Secondly, this study expressively seeks enriching the information technology literature by offering guidelines on the roles of organizational agility in improving firm’s social, economic, and environmental performance. Thirdly, this study assists IT managers to understand the role of different aspects of dynamic agile practices within their organizations from the practitioners’ perspectives. This study assists IT-enabled organizations in inventing new methods and procedures to develop improved organization capabilities according to their rivals. Finally, the knowledge domain of IT capability and its impact on the performance of the IT sector in developed countries is extensively debated and examined (Brusset & Teller,
2017; Yu et al.,
2018). However, limited studies have focused on the role and prominence of dynamic capabilities conducive to organizational agility in the context of emerging economies (Yu et al.,
2018; Zhan et al.,
2018). Thus, establishing a research line and discourse that cover this domain of knowledge in the Middle Eastern professional context seems beneficial.
Based on the above, this study intends to answer the following research questions:
1.
Is there any direct relationship between resource-based dynamic capability and IT capabilities?
2.
Is there any direct relationship between resource-based dynamic capability and organizational agility?
3.
Does resource-based dynamic capability influence organizational agility more through an indirect association (via the mediation of IT capability) than an indirect one?
Theoretical Background and Hypotheses Development
The advancement of technologies like virtual reality (VR), artificial intelligence (AI), Internet of things (IoT), machine learning (ML), cloud technologies, and data analytics has been rapidly evolving (Taghavifard & Majidian,
2022) and, hence, affecting the labor market. As new technologies boom, the presence of such rare talents and competencies becomes a huge confrontation for organizations to handle in the current orientation toward digitalization. This pushes the companies toward devising ambidextrous strategies through constant internal development of talents to respond to the imminent necessities, while utilizing talents for the ongoing projects. The success of a company’s strategy in enhancing human capital and skills relies on the dexterous behaviors generated by the workers who display high levels of passion toward learning and talent acquisition (Kar, et al.,
2021).
Accordingly, IT firms are currently involved in major supply chains that use IT as a cost-effective tool bridging the gap between the components of supply chain (Fainshmidt et al.,
2016; Shukla et al.,
2019). Capitalizing on resources and best practices of partners might help firms in improving their performance (Liu et al.,
2013). The concept of dynamic capability of a firm in resource-based view (RBV) has drawn the attention of many scholars who consider it as a major driving force behind the exceptional performance of a firm (Mikalef & Pateli,
2017). Organizational abilities can be explained as the competence of a firm to manage complex human resources essential for accomplishing a desired corporate performance (Harsch & Festing,
2020). Dynamic capabilities assist IT firms to align and harmonize with the external environment. The main challenge faced by these firms lies in the alignment of operational and dynamic capabilities (Helfat & Winter,
2011). The core objective of the RBV is that the competition of companies should be based on the resources and capabilities (Barney,
2001; Rumelt & Lamb,
1984; Wernerfelt,
1984). Many strategic issues have been investigated influentially and purposefully through this inward-looking approach with respect to the situations that demand diversification (Wright et al.,
2001).
The distinctiveness of the current study lies in providing explanation on dynamic capabilities from a hierarchical viewpoint. Superior performance cannot be delivered alone by the IT infrastructure; it is, rather, delivered by the assimilation of supportive functions that include supply chains, warehousing, delivery, and logistics (Yu et al.,
2018). The expansion of operational capabilities such as organizational agility and sourcing flexibility is supported by inter-organizational information management capabilities (Bondzi–Simpson and Agomor,
2021; Gao et al.,
2020).
Resource-based Dynamic Capabilities, IT Capabilities, and Organizational Agility
Agility is an important construct thought to enhance IT sector’s performance; it is achieved via the firm’s capability to promote elasticity, vigilance, and full integration of operational and managerial processes and mechanisms (Alzoubi & Gill,
2022; Gao et al.,
2020; Harsch & Festing,
2020; Vaishnavi & Suresh,
2020). That is, the firm’s capability to be visible is observed in the firm’s consciousness of the surrounding stimuli, its ability to detect threatening modifications, and favorable opportunities. Accordingly, this is expected to help in fostering supply chain agility regularly that is thought to facilitate exchanging essential information between the firm’s customers and their relative suppliers (Kushwaha & Kar,
2020a). Along similar lines, the virtual integration of information technology seems vital for magnifying the amount of information shared between various stakeholders of supply chain (Shukla et al.,
2019). This, in turn, will enable detecting intricacy and reaching the maximum degree of agility despite the firm’s capability in enhancing and maximizing its investments in information technology (Kushwaha & Kar,
2020a; Marin-Garcia et al.,
2018).
Furthermore, organizational agility can be attained via integrating and modifying the firm’s operations according to external criteria and gauges (Feizabadi et al.,
2019). That is, demand management is playing an important role in enhancing supply chain capabilities (Pérez-Pérez et al.,
2019; Tuan,
2016). Here, the firm’s orientation to apply a differentiation strategy on its products and/or services can be effectively and efficiently attained by emphasizing on enhancing its capabilities in demand management (Mokhtar et al.,
2019).
Performance is represented as the most frequent explored outcome of supply chain alignment in terms of both adaptability and agility (Dubey et al.,
2021; Pérez-Pérez et al.,
2019). Several studies have employed an average organizational performance based on operational, social, and cultural aspects (Attia,
2015). For example, it has been reported that sales growth, profit, and ROI measure the effects of supply chain association on firm performance (Attia,
2015; Shukla et al.,
2019). Efficiency and visibility are increased by lead times, time-to-market, and reductions in costs through integration of supply chain alignment (Ashrafi et al.,
2019). Several studies have differentiated between performance measures as well as investigated the effects of association between operational performance and supply chains (Feizabadi et al.,
2019).
In particular, the empirical effects are inconsistent regarding supply chain alignment on performance (Marin-Garcia et al.,
2018). The association between supply chain integration and performance has been established through general support (Mokhtar et al.,
2019). On the contrary, the association is confirmed merely for innovation and delivery, but not identified through flexibility, cost, and quality in the context of operational perspective (Gunasekaran et al.,
2017).
Studies have emphasized on additional particular alignment consequences that include quality, process enhancement, innovation, and sustainability (Attia,
2016). For instance, logistics innovation is related to external quality, whereas introduction of new product to market is associated with supplier integration (Mokhtar et al.,
2019). It has been noted that supplier integration is connected with innovation, including of social media platforms, and enhancement in order to associate customer integration (Adikari et al.,
2021; Kushwaha & Kar,
2020b; Kushwaha et al.,
2020; Singh,
2013). In addition, it has been revealed that collaboration is associated with environmental competitiveness, supply chain sustainability assessment, and confirmation integration (Tuan,
2016).
Innovation is another important outcome of adaptable supply chain, particularly in terms of product life cycles, which have been increased in different industries (Luu,
2019). It has been purported that the ability of an organization for innovation is improved through supply chain adaptability (Marin-Garcia et al.,
2018). For instance, it has been argued that there is an association between supplier innovation and adaptive capability of manufacturers (Ashrafi et al.,
2019; Gupta & Gupta,
2019). In this regard, organizations are allowed to improve customer value by means of ambidextrous operational abilities through supply chain adaptability (Alfalla-Luque et al.,
2018). When capitalizing merely on exploitative activities as well as tendency to lose efficiency, supply chains are subjected to sub-optimality when they are not competent enough to benefit new notions (Nguyen,
2017). Through this ambidextrous strategy, superior market performance is driven by managing this trade-off.
Capabilities are competencies required for developing resources that contribute to achieving preferred objectives through organizational procedures; commodities controlled or owned by the firms are referred to as resources (Peteraf,
1993). These capabilities and resources are tangible or intangible information-based procedures that are developed over time and are specific to a firm. Dominant and distinctive capabilities and resources might become the foundation of competitive edge (Chikhale & Mansouri,
2015; Peteraf,
1993). These resources of a firm need to be valuable, immobile, rare, imperfectly imitable, and heterogeneous (Barney,
2001).
The essence of dynamic capabilities lies in those practices that facilitate firms to respond swiftly in order to modify environments while developing, identifying, reconfiguring, and integrating capabilities and resources (Teece,
2018). The above-mentioned acts might entail product development, strategic planning routines, knowledge creation, etc., in the presence of entrepreneurial innovation and evolutionary modifications (Adikari et al.,
2021). In this regard, dynamic capabilities facilitate firms to shape their organizational environment and to adapt to the changing environment. Sensing and shaping have different objectives and might have different micro-foundations that perceive sensing as a means to identify, shape, and create market disequilibrium (Gupta & Gupta,
2019; Kirzner,
2015).
In dynamic capabilities, it is essential to engage both supplies and customers in order to build a comprehensive understanding of their needs, hence following a successful and effective process of decision-making (Mathu & Phetla,
2018). Furthermore, this helps in generating creative ideas and divergent thoughts of customers on the firm’s launch of new products (Kushwaha & Kar,
2020a). Moreover, engaging and involving suppliers and customers require wise and smart usage of dynamic capabilities, which is vital for guaranteeing a rapid response to the unprecedented changes in the surrounding environment (Miraz et al.,
2018).
Therefore, it might be advantageous to, independently, consider reshaping innovative or absorptive capacities of an organization (Cohen & Levinthal,
1990; Gupta & Gupta,
2019; McGrath,
2001). They are purely related to internal and external organizational learning, respectively. They need competence for creating new chances internally within an organization. Therefore, dynamic capabilities, which are based on IT resources, are conceptualized as the ability of an organization to effectively alter its course of development in accordance with a business process and in comparison with its rivals in terms of cost reduction (Pérez-Pérez et al.,
2019), maximum business learning (Kar et al.,
2021; Kushwaha et al.,
2021), intelligence, and integration of activities (Adikari et al.,
2021; Schwarz et al.,
2019). Accordingly, the following hypotheses are presented:
H1: Resource-based dynamic capabilities (sensing capability, seizing capability, and transforming capability) are positively associated with IT capabilities.
H2: Resource-based dynamic capabilities (sensing capability, seizing capability, and transforming capability) are positively associated with organizational agility.
The integration of technical resources inside and outside an organization is significantly affected by the IT infrastructure (Adikari et al.,
2021). For example, there is a significant reduction in the operational costs due to rapid growth of cloud computing, which is beneficial for IT firms, as they can integrate technical resources using cloud-based shared resources (Bruque-Cámara et al.,
2016; Taghavifard & Majidian,
2022). Digital technologies and industrial Internet of things (IIoT) have been developing rapidly and creating defiance and commotion in guaranteeing the presence of certain key competencies in job profiles. On the one hand, it has become essential to, continuously, develop more contemporary job profiles over the relying on the current ones, which are expected to become outdated and irrelevant due to the dramatic changing demands of IT skills. Professional individuals are faced with the challenges of undesirability and compulsion for constant upskilling, requalifying, and training for future. It is obvious, then, that technological interventions of Internet of things (e.g., robotics, artificial intelligence, augmented reality, and big data analytics) are continuously upgrading; hence, they spark a thorough analysis of professionals’ skills acquisition behaviors (Kar et al.,
2021).
A firm with an adequate IT infrastructure is more likely expected to strengthen the association between supply chain capabilities and organizational agility. Thereby, the IT firm becomes more responsive and adaptive, as its infrastructure develops a foundation of information in the supply chain that fulfills the operational needs (Mikalef & Pateli,
2017).
Integration of technical resources in the organizational management research community has gained a significant attention (Adikari et al.,
2021). The operational performance and supply chain visibility is enhanced based on inter-organizational enterprise information systems (Liu et al.,
2013). This shows the need of investigating the association between IT capabilities and organizational agility to expand our vision beyond the internal resources. For instance, Gao et al. (
2020) conducted a study examining how the interaction with two axial features of IT capabilities (spanning and flexibility) can affect organizational agility. More specifically, the study found that the association between IT business spanning capability and IT flexibility was mutually positive. However, along opposite direction, the association among the features of IT integration and spanning was found mutually negative.
The agile performance of IT firms depends on the reinforcement of Internet-enabled technologies (Yusuf et al.,
2004). Advanced sets of IT capabilities are promoted based on the IT infrastructure. A study conducted by Tiwari et al. (
2015) states that a flexible IT infrastructure plays an important role in managing operations under environmental turbulence and dynamism. Previous studies have also shown IT infrastructure as the foundation that enables coordination of operations across the supply chain through the integration and synchronization of information and improvement in responsiveness toward the customers (Adikari et al.,
2021; Kushwaha & Kar,
2020a,
2020b; Kushwaha et al.,
2020; Lee & Whang,
2004; Lu & Ramamurthy,
2011). Alignment holds substantial importance in enhancing firm performance. Therefore, it has become yet another front to be achieved in the IT sector (Cheng et al.,
2018).
The applicability of the concept of alignment is predestined in a wide range of fields, as it is the basis for organization–strategic alignment (Dubey et al.,
2021). The alignment of IT infrastructure approaches with the organization’s strategic goals has been fruitless and ineffective due to the organization’s declining performance (Feizabadi et al.,
2019). According to Marin-Garcia et al. (
2018), the organization’s intra-internal alignment extremely differs from its inter-external alignment. The core focus of alignment is based on its external features due to its representations between different IT actors (Wang & Dass,
2017). The IT members must rely on adaptability to operate more efficiently in today’s dynamic environment. The challenges of constant evolution in demands occur due to the disruptive events that are met through a flexible supply network (Pérez-Pérez et al.,
2019; Wang & Dass,
2017). The performance of the relief activities is usually considered as an important platform for success (Barney,
2001).
In the field of information systems, there is a significant impact of IT investments on sustainability of an IT firm (Kushwaha et al.,
2020; Wade & Hulland,
2004). The IT firm relates to the strategic movements, IT capabilities, sustainable competitiveness, and long-term impact of IT investments (Wheeler,
2002). Increased attention is being paid on the dynamic business environment, in comparison with the organizational IT resources. In a similar context, organizational agility is one of the IT-enabled intermediate outcomes that has recently drawn the attention of researchers and entrepreneurs. The IT firms are capable enough to detect changes, alter their market strategies, and react accordingly via the digitized platforms that include enterprise resource planning, Internet computing, advanced systems, efficient management of their supply chain, and interaction with customers. Such firms are also able to form healthy collaborations with their partners essential for dealing with the emerging markets. Thus, it can be stated that organizational agility helps to streamline work processes and builds inter-organizational relationships (Agarwal & Sambamurthy,
2002).
The significance of information technology lies in its capability to enhance the firm’s performance via establishing a database and a podium facilitating interaction, exchange of information, and partnership between various involved entities (Aslam et al.,
2018; Kushwaha & Kar,
2020b; Kushwaha et al.,
2020). Thus, such a domain is thought to facilitate the isolation of the individual from that affected domain; hence, it accordingly minimizes the effect of a disturbance on the internal cohort (Bidhandi & Valmohammadi,
2017). Use of information technology cannot be limited to a specific kind of task and action; instead, it includes the operational and performance procedures, activities, systems, personnel, and the surrounding climate (Cheng et al.,
2018). Moreover, information system enables an organization to integrate strategies for rapid decision-making. This aspect additionally enhances the organizational performance in terms of its elasticity (Dubey et al.,
2021; Kushwaha et al.,
2020). Thus, based on the above discussion, the following hypothesis is proposed.
H3: IT capabilities (IT infrastructure and IT investments) mediate the association between resource-based dynamic capability and organizational agility.
Conclusion
This study suggests a novel progression to the current research endeavor exploring the influence of IT capabilities on organizational agility in the IT sector. More specifically, the current study has used the perspective of dynamic capability to explain the significance of organizational agility in the IT sector. The study suggests that dynamic capabilities of IT firms play an important role in identifying the value of IT resources, which needs to be mobilized across the value chain. In the contemporary business world, the IT sector needs to be equipped with necessary technical resources required to integrate strategic business units with their stakeholders (Gao et al.,
2020). Toward that end, professionals were approached from the supply chain management and operational departments of IT firms operating in Jordan. The study findings indicated positive associations between infrastructure, digital investments, dynamic capabilities, and organizational agility. More precisely, IT capabilities significantly and positively mediated the relationship between resource-based dynamic capability and organizational agility. This implies the need for managers to understand the concept of dynamic capabilities in order to design plans that are formulated for boosting competitive performance (Curtin et al.,
2007; Gao et al.,
2020). This also involves seizing the right opportunity, identifying the major factors for enhancing growth, and sensing incoming openings (Harsch & Festing,
2020). With dynamic capabilities, firms will be able to satisfy customers’ requirements, effectively interact with their partner firms, and assess internal routines (Adikari et al.,
2021; Kushwaha & Kar,
2020a,
2020b).
The findings also indicated that a stable organizational agility instantly improves services and routines, which recommends that enhanced services should be given the optimum preference for customer satisfaction (Adikari et al.,
2021; Kushwaha & Kar,
2020a,
2020b). In addition, firms should be adaptable enough to easily adjust and respond to unanticipated modifications. More specifically, knowledge management and industrial intelligence are key innovations that enable managers to seize meaning from the collected data that can be used to create massive data warehouses (Chen et al.,
2012). Thus, the organization’s ability to be agile and responsive to market changes is further enhanced. This, in turn, will help in making accurate decisions that further promote organizational effectiveness and efficiency (Curtin et al.,
2007).
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