## 3 Results and Discussion
### Content Analysis
#### 3.3.5 Final Remarks: Implications, Limitations, and Future Research Directions  
This study depended on the VOS viewer software results in a co-occurrence network outcome. Based on the four major clusters which emerged as a consequence of this research and the depictions of the co-occurrence network in Figure 4, specific themes mark the important highlights of the future research trends of the Internet of Things [80]. Co-occurrence networks also signify the relationships and associations between the articles in the same research domain [19; 20]. Moreover, co-occurrences emphasize and highlight the key terms in the text corpus to show the graphic visualization of the importance of relations in the dataset [21]. In this particular study, the co-occurrence network provides extra insightful outcomes by pairing data related to the article collection and by analyzing the text. More significant relations are displayed visually which enabled further analyses and discussions. As depicted by Figure 4 above, several factors emerge. First, the Internet of Things appears to have a direct and significant impact on Business Model Innovation, technology utilization, and digital transformations and capabilities [81]. The Internet of Things enables new realms in each change cluster, accelerates change, and provides new directions for cutting-edge applications. Second, there seems to be an immense amount of co-creations from the fact that the Internet of Things allows instant access to information and interactions based on its real-time nature. This makes real-time data usage a top priority in future products and services like servitization [66]. Another vital point in this regard is value creation, which appears to be a major critical success factor in future businesses and business models [82]. Third, the architecture of the Internet of Things emerges as a major point of interest that integrates value creation, value design, and value proposal. With a more effective system architecture, the companies of the future may create a more distinct, exquisite, and sustainable edge over their competitors [83]. Firm performance can be enhanced by the effectiveness of the business model and its innovative capability. Fourth, digital transformation possesses relentless opportunities in and of itself since it is a never-ending paradigm reshaping itself as it advances [84]. Services in this new smart era are to be direct products of Big Data analyses, and this is expected to reshape industries as each industry will be affected by a varying degree of change in this evolution. Furthermore, an inevitable perspective is the inherent challenges that these clusters entail regarding all that they offer [85]. At each step, human interaction and effective design capabilities will play crucial roles in shaping strategies for better use and fit [82]. Also,  
Figure 4: Co-occurrence network. each challenge will carry with itself further opportunities (untapped otherwise) if exploited well and effectively. An undeniable challenge for all new changes will undoubtedly be the increased ease in imitability in this new era. Imitating methods, products, services, business models, and innovations will naturally be more accessible than ever, given that the competitors have matching capabilities in conjunction with the pioneering companies [69]. A sure way to overcome such a robust challenge naturally lies in the continuous pursuit of new forms of delivering better value [86]. Only a non-stop innovating entity will be safe from imitating competitors in this new era of everything being connected to everything else in a real-time fashion [87]. Thus, digital transformation and deploying better ways of utilizing the Internet of Things may indeed be sources of competitiveness if they offer more enduring values of great distinction in light of all possible opportunities [88]. Analyses show that the Internet of Things has several strengths and opportunities for businesses and society at large.