The wood and wood-based sector in Malaysia has grown from humble beginnings in the early 1980s to become an important multi-billion-dollar export-oriented sector within three decades.
In fact, Malaysia has been a leading exporter of tropical saw-logs, sawn timber, and plywood since colonial times. The government, in its efforts to improve downstream processing and value-adding activities, imposed a ban on saw-log exports from Peninsular Malaysia in 1978, which was followed by a series of export quotas and export tax on sawn-timber.
Such policy moves were able to restrict the exporting of primary wood commodities but were insufficient to encourage a large-scale transformation of the wood- based sector to down-stream processing.
To encourage down-stream wood processing, the government implemented a series of Industrial Master Plans (IMP). The first IMP (1986 to 1995) focused on down-stream processing, the second IMP (1996 to 2005) emphasised greater value-added manufacturing, especially in the furniture and builders’ carpentry and joinery (BCJ) sectors, and the third IMP (2005 to 2020) prioritised original design and creativity.
The transformation of the Malaysian wood-based sector brought about by these IMPs was profound, as export revenues from wood-based products surged from RM 914 million in 1980 to RM 22.3 billion in 2018.
From an industrial perspective, the successful transformation of the Malaysian wood-based sector into a large value-added export-oriented sector became the envy of many nations, and the Malaysian model has been extensively studied and replicated elsewhere to spur industrial growth.
The Malaysian Furniture Industry
A testament to the success of the Malaysian wood-based industry is the booming furniture sub-sector. In recent decades, the furniture sub-sector has emerged as the star performer within the overall Malaysian wood-based industry, commanding almost 40 percent of the industry’s total export earnings.
In 2018, furniture exports were valued at RM 9.83 billion, despite the highly competitive global market. As a large export-oriented furniture manufacturer, Malaysia exports 85% of its annual furniture production volume to more than 160 countries throughout the world, with the US, Japan, Australia, Singapore, Europe, India, United Arab Emirates, and South Africa being the main markets.
With this sterling performance, it is no surprise that the furniture industry is on track to achieve its target of RM 12 billion in export receipts by 2020.
Nevertheless, the rapid expansion of the Malaysian furniture industry during the 20-year period between 1986 and 2005 coincided with the implementation of the 1 and 2 Industrial Master Plans.
However, since 2006, the pace of annual growth has reduced significantly, because the industry has been plagued with stagnating productivity growth and hence, reduced competitiveness amidst the Asian furniture powerhouses, such as China and Vietnam.
The growth of the Malaysian furniture industry in the early years was fuelled primarily by the availability of input factors, especially raw materials and labour at competitive rates. The growth driven by these incremental capital inputs could not be sustained when the other lower-cost furniture manufacturing nations joined the furniture manufacturing arena, which eliminated the comparative advantages from factor inputs.
In fact, China and Vietnam have emerged as the two most important furniture exporters in the world, displacing Malaysia to the tenth position in the league of the 10 most important furniture exporters in the world in 2018.
Generally, the Malaysian furniture sector can be categorised into four main types by the material predominantly used (wooden, panel-based, soft/leather, and metal). However, wooden furniture accounts for the largest proportion of furniture produced, making up almost 83 percent of the total volume of furniture produced.
It has been highlighted that the two most important challenges faced by the Malaysian furniture industry are the unsustainable raw materials supply and the labour-intensive industry that is highly dependent on foreign contract workers, who make up almost 67 percent of the total industry workforce.
To alleviate the uncertainty in raw materials supply, importation of materials, establishment of plantation forests, and increased efforts to improve recovery in material processing are being widely practiced throughout the country, and these measures have already bearing success.
However, the problem associated with the labour-intensive nature of the furniture industry remains a huge challenge to productivity. The over-dependence on foreign contract workers created a low-wage economy that is unattractive to the local workforce. Further, the furniture manufacturing industry is associated with the ‘3D’ (dirty, dangerous, and difficult) syndrome, making it less desirable to local workers.
The prevailing low-wage economy serves as a strong disincentive to manufacturer s’ wanting to invest in technology and automation, as the low-cost workforce offsets the much-publicised benefits of adopting technology and automation. The lack of technology and automation also hamper the efforts to move up the value-chain and boost creativity, which explains the stagnating value-addition and productivity growth of the Malaysian furniture industry.
State of Automation Application in the Malaysian Furniture Industry
Previous research has shown that automation may offer a long-term solution to reduce labour cost, especially in the labour-intensive furniture industry.
The report also suggests that the adoption of automated technologies may be able to reverse the trend of stagnating labour productivity and increase value-addition in the Malaysian furniture industry.
A similar observation was reported by the Academy of Sciences Malaysia (ASM) in 2015, which noted that most furniture factories prefer low-cost automation solutions and stand-alone workstations, such as computer-numerical-control (CNC) workstations, capable of performing repetitive tasks for higher production volumes.
In fact, there appears to be a reluctance among manufacturers to venture into automated technologies, despite the financial incentives offered by the Malaysian Industrial Development Authority (MIDA) and the Malaysian Timber Council (MTC) for the adoption of automated technologies.
It has been found that automation in manufacturing sectors can be categorised into three major groups: (i) low-range automation or low-cost automation (LCA), (ii) mid-range automation technologies, which still requires the skilled supervision to ensure conformity, and (iii) high-range automation technologies, which operate through a machine-human interphase without any direct supervision.
In this context, almost 48 percent of all automation technologies currently used in the furniture industry in Malaysia fall under category 1, while category 2 and category 3 account for 33 percent and 19 percent, respectively.
This is likely due to the prevailing lack of information and communication technologies (ICT) applied in the furniture industry, and the lack of the knowledgeable and skilled workers necessary to adopt and maintain such technologies.
However, this lack of ICT application and skilled workers who are ICT savvy are also lacking in other resources-based industries in the country.
To overcome the over-reliance on contract foreign workers who currently make up approximately 34 percent of the country’s total workforce, the government formulated the National Policy on Industry 4.0 in 2018.
This policy was spearheaded by the Ministry of International Trade and Industry (MITI). With this policy, the government aimed to help transform the manufacturing sector into a high technology, high value-added, and globally competitive sector.
Although the initial focus was on sectors, such as automotive, consumer electronics, and rubber product manufacturing, the furniture and wood-industry was also identified as a potential sector for Industry 4.0 adoption.
Owing to the prevailing organisational culture and the predominance of small and medium enterprises (SMEs) in the furniture sector, the issue of readiness and awareness of Industry 4.0 is also ambiguous, and warrants a study.
Nevertheless, one of the prerequisites for the successful implementation of Industry 4.0 is the ready availability of skilled and knowledgeable workers who are trained by a rigorous education program on the relevant enabling technologies.
In the furniture and wood-based industries, this problem is even more acute due to the high reliance on foreign contract workers, who in many instances have little or no formal education.
It is hoped that local institutions of higher learning will developed relevant programs to train local workers with such knowledge and skills, which inevitably will entice them to seek a career in the furniture industry, which also offers a higher wage due to their special qualification and skills.
In this context, the Erasmus+ MAKING 4.0 program for the furniture and wood industry in Malaysia initiated in 2018 and funded solely by the European Commission, has the objective of developing an Industry 4.0 education curriculum for Malaysian universities in collaboration with partner universities from Europe.
Industry 4.0: Its’ Development, Enabling Technologies and Barriers to Adoption
The end of the 18th century was indeed the start of the industrial revolution when mechanical production facilities powered by water and steam were first used.
In the 20th century, the second industrial revolution unfolded, when the concept of mass production emerged with the discovery of electricity as well as the division of labour.
Automation, industrial electronics, and information technology brought about the 3rd industrial revolution which started circa 1970s. The 4th industrial revolution was driven by the horizontal expansion of information technology, in which interconnectedness is a fundamental requirement.
Inevitably, new avenues of production are emerging through communicating objects, learning machines, and autonomous robots. The term ‘Industry 4.0’ describes the increasing digitisation of the entire supply chain, which makes it possible to connect actors, objects, and systems based on real-time data exchange.
This interconnection enables products, machines, and processes with artificial intelligence to adapt and change according to real-time situations. According to Roblek et al., the five key elements of Industry 4.0 are: (1) digitisation, optimisation and customisation of production; (2) automation and adaptation; (3) human–machine interaction; (4) value-added services and stores, and (5) automatic data exchange and communication. These elements are mutually interconnected, and they lead to the unique characteristics on Industry 4.0, which are, cyber-physical systems, internet of things (IoT), internet of services (IoS), and smart factories.
The application of connected and embedded systems with software solutions makes it possible to control and monitor production through the processing and analysis of information extracted from the production process. Overall, Industry 4.0 technologies support decision-making and therefore contribute significantly to increasing productivity.
Industry 4.0, also referred to as smart manufacturing, which marries physical production and operations with smart digital technology, machine learning, and big data, creates a more holistic and better-connected ecosystem for manufacturing companies as well as supply chain management.
Although manufacturing companies may differ from each other, a common problem faced is the need for real-time insights across the whole manufacturing chain.
This is the essence of Industry 4.0, which should improve manufacturing efficiency and revolutionise the way the entire businesses grow and operate. Therefore, Industry 4.0 will have an impact on the future of the furniture manufacturing industry, and it is important to assess the readiness of the industry for such transformational technologies.
In the furniture industry, the application of Industry 4.0 encompasses five components, i.e., the digital component, intelligent machine, horizontal networking, vertical networking, and the smart workpiece.
It is widely accepted that Industry 4.0 takes the emphasis on digital technology to a whole new level, by improving interconnectivity through the internet of things (IoT), access to real-time data, and the introduction of cyber-physical systems.
This allow business owners to better control and understand every aspect of their operation, and it allows them to leverage instant data to boost productivity, improve processes, and drive growth.
The rapidly evolving and converging technologies of Industry 4.0 is pushing the boundaries of new product development through additive manufacturing and advanced materials. With big data analytics, rich simulations, and augmented reality supported by cyber-security functions, the lines between physical and digital realms are blurred, allowing furniture designs to be taken to greater heights.
The human capacity is also enhanced through artificial intelligence and autonomous robots in the smart factory environment. Many of these technologies have been available for several years, but the interaction and resulting convergence of these technologies is creating an unprecedented pace and breadth of impact on the global manufacturing industries.
Consequently, the impact of such technologies on the furniture sector will likely be sizable.
Table 1 provides a summary of the key enabling technologies of Industry 4.0.
Despite the much-touted benefits of applying automation and Industry 4.0 technologies in the manufacturing sector, there are barriers to its adoption and effective utilisation.
Müller and Voigt reported that one of the major barriers to the implementation of Industry 4.0 is the lack of skilled workforce, along with the requirement to retrain staff to fit the new manufacturing circumstances.
The same report together with the study by Erol et al. also identified the shortage of financial resources the low degree of product standardisation as the other barriers faced to the implementation of Industry 4.0.
Paritala et al. noted that standardisation problems may occur in inter- organisational relationships, as well as in tools and systems inside manufacturing companies.
A study by Bauer et al. suggests that the intensive communication required by Industry 4.0 projects, and therefore the introduction of new technologies, may be significantly affected by the difficulty of coordination across organisational units.
A study from Koch et al. found that many companies have not done feasibility studies to support the need to invest in the data and systems architecture required for the introduction of Industry 4.0 applications.
Although most companies recognise the likely impact of Industry 4.0, it has been found that small and medium enterprises (SMEs) are generally less well-prepared for the new technologies and expectations due to financial constraints.
In contrast, larger companies have much greater opportunities to invest in new technologies, and therefore tend to apply more advanced manufacturing technologies than SMEs.
In fact, it was also reported by Basl that many companies are not clear on the benefits of using Industry 4.0 technologies and are also reluctant to explore such technologies due to the resistance arising from organisational culture in transformation.
This is particularly relevant to the furniture industry in Malaysia, which is predominated by SMEs with family-based management culture.
Unlike previous studies, this paper examines the driving and inhibiting factors to Industry 4.0, in relation to the furniture industry. As far as we are aware, no previous papers have considered this context, and the results were not based on the furniture industry’s ecosystem, which is essential for understanding the phenomenon.
Against this background, it is important to assess the awareness and readiness of the Malaysian furniture industry for Industry 4.0. Although a previous paper by Ratnasingam et al. has provided some preliminary insights into this topic, their findings were inconclusive and required further research.
Therefore, the main objective of this study is to assess the awareness and readiness of the Malaysian furniture industry for Industry 4.0 and industry attitudes about the benefits and potential challenges it may bring. The results of this study, which is part of a broader survey, will influence the development and implementation of university-level program on Industry 4.0 under the Erasmus+ program and also highlight the potential reception and support it receives from the industry.
The aim of qualitative research is to gather data through the perception of local actors, paying considerable attention and drawing on empathic understanding to isolate key themes.
Being part of a broader study to develop and implement an Industry 4.0 university-level curriculum, this survey served the preliminary purpose of benchmarking the industry’s current status in terms of their awareness, readiness, and the perceived barriers to the adoption of Industry 4.0.
A questionnaire-based survey was sent to 2000 furniture manufacturers in Malaysia. The manufacturers sampled were representative of the full spectrum of furniture products produced by the various sized manufacturers in the country. The response rate from potential respondents, who were identified with the assistance of the Malaysian Furniture Council (MFC), was 39 percent, or 780 respondents.
The results of this study are presented in five parts: (1) the characteristics of the respondents, (2) factors that encouraged the adoption of automation technologies in furniture manufacturing, (3) the most preferred key enabling technologies of Industry 4.0 with the most potential applications reported by participants, (4) factor analysis of the 19 beneficial attributes of adopting Industry 4.0 technologies in furniture manufacturing, and (5) the readiness of furniture manufacturers to adopt and embrace Industry 4.0.
Characteristics of the Respondents
The survey results show that 63 percent of the respondents were involved in the export market only, while the other 37 percent of the respondents were involved in both the export and domestic markets. This was expected, as the Malaysian furniture industry is an export- oriented industry with an 80 percent export to production ratio.
Further, as Malaysia is a relatively small country with a population of 33 million and an average furniture expenditure of US$380 per household per year, the domestic furniture market is relatively small.
Figure 1 shows that 91 percent of the respondents were from small- and medium-sized (SMEs) companies, and only nine percent were from large-sized furniture manufacturers.
Companies with a turnover from RM 300,000 up to RM 15 million per annum, from RM 15 million but not exceeding RM 50 million, and with annual turnover exceeding RM 50 million, are classified as small, medium and large respectively.
As reported by Ratnasingam et al., the SMEs, including micro-based companies, predominate the furniture industry in Malaysia due to the fact that furniture manufacturing is still regarded as a cottage-based industry with a low barrier to entry and a large number of single, family- based entrepreneurs.
Nevertheless, as reported by Horváth and Zs. Szabó, larger companies may be financially stronger to pay for the higher investments required for adopting automated technologies compared to the SMEs. Despite the industrial structure, the SMEs remain the backbone of the robust and rapidly growing furniture industry, offering both flexibility in volume production and product diversity.
Figure 2 shows that wooden furniture manufacturers constituted the largest proportion of respondents (58%), followed by panel-based furniture (18%), metal furniture (13%), and soft/leather furniture (11%). This trend was in line with the previously reported composition of the furniture industry in Malaysia, as wooden furniture accounts for the largest portion of the furniture produced in the country, making up almost 83 percent of all furniture produced.
Reasons for Adopting Automated Technologies in Furniture Manufacturing
Of the 780 respondents who participated in this survey, 57 percent, or 444 respondents had invested up to RM 1.0 million over the last three years to acquire automated technologies.
These respondents, in their opinion and perspective, reported that the main reasons in an order of importance, for acquiring these technologies were to: (1) improve productivity, (2) reduce workforce, (3) reduce cost, and (4) improve quality (Fig. 3).
These findings were comparable to previous studies by Adolph et al., Paritala et al., Cimini et al. and Kiel et al., who reported that the acquisition of automation and high technologies were usually driven by the need for higher productivity and cost competitiveness.
In fact, the results also goes parallel with the suggestion by Ratnasingam et al., who found that the growth of the furniture industry in Malaysia was due to incremental factor inputs, which also include the application of automated technologies.
In fact, this revelation is also the basis on which the government introduced the Industry 4.0 Master Plan in 2018 (MITI 2018), so as to encourage the manufacturing sector to further embark on higher technology application.
The results of the survey also revealed that panel-based furniture manufacturers reported the most use of automated technologies, followed by metal furniture, wooden furniture, and soft/leather furniture, in that respective order.
This finding has serious implications for the furniture manufacturing industry, as it suggests that not all furniture industry segments can adopt similar levels of automated technologies. In addition, the available technologies appear better suited for furniture with standardised components of a great variety, which is a common feature in the panel-based and metal furniture industries.
A similar point was also highlighted by Müller and Voigt who found that standardised components and products encourages the application of automated technologies.
The preference among panel-based furniture and metal furniture manufacturers to apply a higher degree of automated technologies in their manufacturing facility is driven by the need for consistent quality, lower unit cost, standardised components, and compliance to various standards.
However, these findings conflict with other reports on the factors that encouraged the use of automated technologies in the furniture manufacturing industry. Ng and Kanagasundaram reported that automated technologies were the most appropriate means of manufacturing furniture in high-wage economies where technology application can off-set the high labour cost.
In Japan, for instance, the application of automated technologies is more pervasive throughout the furniture manufacturing industry, even among small enterprises, due to the high cost of labour and strict environmental regulations.
The high precision work culture of quality and consistency characteristics of the Japanese workforce necessitates the use of automated technologies, which often eliminate human errors that may impair overall product quality and fail to meet customer expectations.
A similar finding was reported in a study by Ratnasingam et al. on the furniture industry in Singapore. In Singapore, the stringent labour laws encourage the application of automated technologies to comply with legal requirements and create a more effective working environment.
Nevertheless, Ratnasingam et al. found that the prevailing low-wage economy, typical of the furniture industry in other parts of Asia, serves as a strong deterrent to adopting automated technologies. Further, the lack of enforcement of the existing environmental regulations indirectly contributes to the poor state of workers’ welfare, health, and safety.
However, other studies have reported that the benefits of applying automated technologies in furniture manufacturing outweigh the high initial cost, and the delay on returns from such investments can be shortened significantly by the increased productivity offered by automated technologies.
Although, the prevailing low-wage economy in the Malaysian furniture industry may impede the adoption of automated and Industry 4.0 technologies on a wider scale, this may change when the benefits to be derived from such technologies are realised by the manufacturers.
Most Preferred Key Enabling Technologies of Industry 4.0 Among Furniture Manufacturers
Figure 4 contains the potential technologies of Industry 4.0 in the order of reported importance to furniture manufacturers.
Advanced manufacturing technologies, including low cost automation and robotics, ranked the highest and were followed by other enabling technologies, including CAD-CAM, horizontal and vertical integrated manufacturing, such as MRP, computer-aided design (CAD), cyber security, and simulation.
The preferred enabling technologies of Industry 4.0 were skewed towards technologies that could be easily adopted without much investment in hardware or human capital. This result was also in line with the findings of previous studies by Adolph et al., Ratnasingam, and Smit et al., who found that the lack of knowledgeable and skilled workers appears to be a big threat to the full utilisation of such technologies in the manufacturing sector.
It is apparent that in the Malaysian furniture manufacturing industry, awareness of the benefits of Industry 4.0 and its enabling technologies is low, and much education and promotion would be required to realise the objective of achieving higher productivity and value-addition from the application of such technologies.
Until then, there is overwhelming evidence that the labour-intensive nature of the industry will remain the norm rather than the exception, as noted by Ratnasingam et al.
The results of the analysis of the 29 beneficial attributes of automated technologies that encouraged their use among furniture manufacturers were then evaluated.
Table 2 presents the mean ranking of the effects automated technologies had on furniture manufacturing.
Lower unit cost, higher output, consistent quality, standardised components, and higher productivity encouraged furniture manufacturers to adopt automated technologies in their factories.
However, the high investment cost, lack of skilled workers, lack of incentives, lack of production-networking data, and low workers’ wages were the main factors that deterred furniture manufacturers from employing automated technologies on a wider scale.
Factor Analysis of Beneficial Attributes That Affected the Use of Automated Technologies in Furniture Manufacturing
For factor analysis, all the variables in the study were assumed to be somewhat correlated, and the strength of the correlation among the variables was evaluated by the Kaiser-Meyer-Olkin method.
When this analysis was conducted, a weak correlation of 0.329 between the variables was found. However, the Bartlett’s test of sphericity on the correlation matrix gave a value of 90.01 with a significance level of less than 0.001. This showed significant correlations among some of the variables in the study, which indicated that factor analysis could be used for further analysis in this study.
Subsequently, the factor analysis grouped the 19 variables into five groups of attributes as follows: (1) production capacity, (2) cost, (3) work force, (4) product characteristics, and (5) work environment.
Instead of describing the individual beneficial attributes of using automated technologies in furniture manufacturing, the factor analysis technique allowed consolidation of the many variables into five distinct groups, as shown in Table 2.
The factor analysis revealed that five factors influenced the furniture manufacturers’ decision to apply automated technologies. In Table 2, the value of 4.0 is taken as the threshold value to show strong influence. Hence, all values above 4.0 are in bold to reflect its strong influence on the overall importance of the group, and the more such factors are present in the group, the higher is the overall importance of the group.
The variance of factor 1, factor 2, factor 3, factor 4, and factor 5 accounted for 26.5 percent, 10.3 percent, 17.9 percent, 22.6 percent, and 4.7 percent, respectively, of the total variance observed among the variables.
These results suggest that furniture manufacturers adopted automated technologies to improve their production capacity, enhance product characteristics, reduce workforce size, and minimise cost.
Work environment did not have a strong influence on the decision-making process of furniture manufacturers to adopt automated technologies.
This result was in line with those of previous studies by Li et al., Müller, and Fareri et al., who found that production capacity, reducing workforce size, and cost were the primary motivation for manufacturers to adopt automated technologies.
However, in an earlier report, Ratnasingam et al. argued that the Woodworking Machinery Suppliers Association (WMSA) of Malaysia regards the furniture industry as being production-oriented and highly cost-sensitive.
Therefore, as elucidated by Ratnasingam et al., to achieve greater adoption of automated technologies in Malaysia ’s furniture industry, incentives and improved workforce training to cope with technologies of Industry 4.0 must be provided, with an implementation of a stringent policy to reduce workforce dependency.
The Level of Readiness among Furniture Manufacturers to Adopt and Embrace Industry 4.0
The results showed that the level of readiness to adopt Industry 4.0 among furniture manufacturers is relatively low at this point in time.
Only six percent of the respondents were ready for the adoption of a high degree of automated technology, such as Industry 4.0. As expected, all the respondents who were more receptive and prepared to adopt a high degree of automated technology were from the wood-based panel and metal furniture manufacturing sector.
The remaining 94 percent of the respondents were not ready to adopt Industry 4.0 and were mainly deterred by the high initial investment involved and a lack of networking infrastructure and data management capacity in their manufacturing facilities.
These deterrent factors were listed based on their opinions and perspective of the industry, but were found to be in line with previous studies by Bauer et al., Horvat et al., and Müller, suggesting that cost implications are high on the decision-making hierarchy among SMEs, who predominate the furniture sector.
Nevertheless, it must be recognised that without the availability of knowledgeable and skilled local workforce, the journey of embarking Industry 4.0 technologies may be slow and challenging for Malaysian furniture manufacturers.
In the final analysis, however, as long as the low-cost foreign contract workers are available, manufacturers of furniture in the country may continue to shun high technologies, while believing that these low-cost workers can offset the perceived benefits offered by the costly technologies.
The results of this study have far-reaching implications on the adoption and implementation of automated and industry 4.0 technologies among furniture manufacturers in the country.
It appears that such technologies can be more readily adopted by wood-based panel and metal furniture manufacturers, who are akin to producing standardised products in large volumes, rather than the solid-wood and leather furniture manufacturers.
Unlike their European counterparts in the furniture industry, Malaysian furniture manufacturers are still highly cost-sensitive, and the sales of their products are often driven by price points rather than productivity or value-addition.
As highlighted by the study, one of the major barriers to the adoption of Industry 4.0 technologies in the furniture industry is the lack of knowledgeable and skilled workers to handle such technologies.
In this context, the proposed Erasmus MAKING 4.0 university-level education program is both timely and desirable. However, the proposed education curriculum on Industry 4.0 should be broad-based rather than focusing exclusively on the furniture and wood-based industry to attract more students from different academic backgrounds and ensure its relevance to the country’s needs.
This is owing to the fact that generally interest among young people to pursue a degree in furniture and wood-related field is on the decline in the country, and therefore, a further degree focused on this field may not be widely acceptable either at this point of time.
Inevitably, a generalised Industry 4.0 university-level education may be more amenable and attractive to both potential students as well as industry personnel.
Further, based on higher the readiness of the wood-based panel and metal furniture manufacturers to Industry 4.0, it is recommended that the government provides further support to ensure greater uptake of such technologies, which in turn will increase the overall awareness of the benefits to be derived from such technologies to the larger furniture and wood-based industry.
Such increased adoption is also highly desirable to boost industrial productivity, while at the same time, reducing the dependence on foreign contract workers.
Finally, this study should convince policy makers that increasing awareness of the benefits of Industry 4.0 is equally important to providing the necessary incentives to facilitate a wider adoption of Industry 4.0 in the furniture and wood industry in Malaysia.